ai-supply

Pure C/C++ LLM inference library — run quantized models on CPU, Metal, CUDA and more.

High-throughput, memory-efficient LLM inference engine with PagedAttention and continuous batching.

Multi-agent framework that assigns GPT roles (PM, engineer, QA) to solve complex software tasks end-to-end.

The Natural Language Toolkit — Python's foundational NLP library for tokenization, POS tagging, parsing, and corpora.

State-of-the-art sentence and text embeddings — compute semantic similarity, clustering, and dense retrieval.

Hugging Face's state-of-the-art library for diffusion-based image, video, and audio generation models.

End-to-end ML lifecycle platform — experiment tracking, model registry, serving, and LLM evaluation.

Lightning-fast open-source search engine with typo-tolerance, semantic hybrid search, and sub-50ms response times.

Conversational AI coding agent that builds entire codebases from natural-language specs with one prompt.

Low-code visual builder for LLM-powered agents and multi-step AI workflows with 100+ pre-built components.

ML experiment tracking and visualization — log metrics, hyperparameters, models, and media in real time.

Fast, memory-mapped dataset library for NLP and ML — 50,000+ datasets, streaming, and Arrow-backed processing.

Official GitHub MCP server — give your AI agent full read/write access to repos, issues, PRs, and actions.

Fast and flexible image augmentation library with 70+ transforms for computer vision model training.

Distributed Python framework for scaling ML workloads — training, serving, hyperparameter tuning, and pipelines.

Official TypeScript/JavaScript SDK for building MCP servers and clients — the Node.js foundation for the Model Context Protocol.

Run powerful open-source LLMs locally — privacy-first desktop app and Python SDK, no internet required.

Ultra-fast tokenizer library (Rust core) — BPE, WordPiece, SentencePiece — tokenize GBs in seconds.

Open-source AI software engineering agent that writes, edits, runs, and tests code autonomously in a sandboxed environment.

The world's most popular computer vision library with Python bindings — image processing, video, and ML pipelines.

The largest collection of pretrained image models for PyTorch — ViT, ConvNeXt, EfficientNet, Swin, and 900+ more.

High-performance, model-agnostic Python framework for building, running, and managing production AI agents at scale.

In-process OLAP SQL database that runs inside your Python, R, or Node.js process — no server required.

Drop a screenshot or Figma design and get clean HTML/Tailwind/React/Vue code generated by GPT-4o or Claude.

Industrial-strength NLP library for Python with pre-trained pipelines for tokenization, NER, parsing, and more.

Run PyTorch training scripts on any hardware — single GPU, multi-GPU, TPU — with minimal code changes.

Instant voice cloning with precise style control — tone, emotion, accent, and rhythm from a single short reference clip.

Microsoft's deep learning optimization library — train trillion-parameter models with ZeRO memory parallelism.

CTranslate2-powered reimplementation of Whisper with up to 4× faster inference and lower memory usage.

Meta's Segment Anything Model 2 — real-time promptable segmentation for images and videos with streaming memory.

Apache-2.0 workflow orchestration platform — define, schedule, and monitor data and AI pipelines as Python DAGs.

8-bit and 4-bit quantization for PyTorch — run and fine-tune LLMs on consumer GPUs with minimal quality loss.

Industrial-grade multilingual OCR toolkit supporting 80+ languages with text detection, recognition, and layout analysis.

Blazing-fast DataFrame library written in Rust with a Python API — handles datasets that don't fit in RAM.

Fine-tune LLMs with RLHF, PPO, DPO, SFT, and GRPO — the standard library for aligning language models.

OpenAI's lightweight Python framework for building multi-agent systems with handoffs, tracing, and guardrails.

Google's on-device ML framework for face, hand, pose, and object detection across mobile, desktop, web, and edge.

Production-grade Stable Diffusion studio with a node-based workflow editor, ControlNet, IP-Adapter, and full REST API.

Unified fine-tuning framework for 100+ LLMs — SFT, RLHF, DPO, LoRA, QLoRA via Web UI or CLI.

Apache-licensed 7B language model from Mistral AI — beats Llama 2 13B on most benchmarks at half the size.

Open-source durable execution platform for building reliable distributed workflows and long-running processes.

Meta AI's promptable image segmentation model that can segment any object from a single click or bounding box.

ProjectDiscovery's fast, template-driven vulnerability scanner with 9,000+ community templates for web apps, APIs, cloud, and AI service endpoints.

Princeton's autonomous agent that resolves real GitHub issues end-to-end using a custom agent-computer interface.

Pioneering autonomous task-management AI that uses GPT-4 and vector memory to self-generate and prioritize tasks.

Lightweight neural voice activity detector that distinguishes speech from silence/noise in real time.

Open-source vector similarity search for PostgreSQL — store and query embeddings directly in your Postgres DB.

Hugging Face Transformers: state-of-the-art pre-trained models for NLP, vision, audio, and multimodal tasks.

One-line OCR for 80+ languages including Latin, Chinese, Arabic, Devanagari, and Cyrillic — no training required.

The most popular open-source Yahoo Finance connector — historical prices, fundamentals, options chains, and real-time quotes as pandas DataFrames.

Python wrapper for TA-Lib: 150+ technical indicators (MACD, RSI, Bollinger, candlestick patterns) in C speed.

The leading framework for building LLM-powered applications and agents with chains, tools, memory, and retrieval.

Whisper with fast forced alignment, accurate word-level timestamps, and multi-speaker diarization.

Asset-oriented data orchestration platform for building, testing, and monitoring data pipelines in production.

Run large language models locally with a single command. OpenAI-compatible API for Llama, Mistral, Gemma, and more.

Aqua Security's comprehensive vulnerability scanner for containers, filesystems, Git repos, IaC, and SBOMs — now with AI/ML workload scanning.

Facebook AI's library for efficient text classification and word representation learning — trains in seconds on millions of documents.

AI pair programming tool in your terminal — chat with LLMs to edit code across your entire git repository.

Cloud-native open-source vector database built for billion-scale similarity search and AI applications.

The largest open prompt collection — thousands of curated system prompts for personas, coding, writing, education, and creative tasks. CC0 licensed.

Farama Foundation's MIT-licensed reinforcement learning toolkit — the standard interface for RL environments including Atari, MuJoCo, CartPole, and 100+ more.

Resemble AI's state-of-the-art open-source TTS model with voice cloning, emotion exaggeration, and zero-shot speaker adaptation.

Open-source agentic software engineer that understands high-level instructions, plans steps, and writes full code solutions.

MIT-licensed rule-based sentiment analysis tool tuned for social media, brand monitoring, and ad copy: compound scores with no model training required.

Build, ship, and scale AI services — unified framework from local development to production Kubernetes.

MIT-licensed SOTA English embedding model from BAAI — top MTEB leaderboard performer, commercial-friendly.

Microsoft Research's system connecting LLMs to 1000+ Hugging Face models for multi-modal task planning and execution.

Meta AI's modular object detection platform supporting Mask R-CNN, Faster R-CNN, DETR, and panoptic segmentation.

Cross-browser automation library for agents: control Chromium, Firefox, and WebKit with a single reliable API.

Battle-tested deep learning TTS toolkit with XTTS, VITS, and 1000+ pretrained voices across 20+ languages.

Ship an entire LLM as a single self-contained executable — one file, every OS, no install needed.

CLI scaffolder for full-stack LlamaIndex RAG and agentic apps — Next.js, FastAPI, or Express in one command.

Data quality framework for defining, testing, and documenting expectations about your data pipelines.

Microsoft's MIT-licensed 3.8B SLM — instruction-tuned, runs on CPU/mobile, punches far above its weight class.

384-dimensional sentence embeddings with tens of millions of downloads — fast, compact, and remarkably accurate for semantic search and clustering.

Microsoft's open-source PII detection and anonymization engine supporting 50+ entity types across text, images, and structured data.

Minimal keyword and keyphrase extraction using BERT embeddings — finds the most representative terms in any content for SEO and content strategy.

Open-source AI code assistant VS Code and JetBrains extension — autocomplete, chat, and edit with any LLM.

82M-parameter Apache-2.0 text-to-speech model with high naturalness and multiple voice styles.

Open-source vector database with hybrid search, multi-tenancy, and native ML module integrations.

DLR's MIT-licensed PyTorch implementations of PPO, SAC, TD3, DQN, A2C, and HER — battle-tested RL algorithms for game AI and simulation.

MIT-licensed comprehensive guide and prompt library — techniques, examples, and templates for every major LLM prompting method.

Official reference MCP servers: filesystem, git, fetch, memory, and more — the fastest way to give agents real-world tool access.

MIT-licensed Python NLP library with sentiment polarity/subjectivity scoring, spell correction, noun phrase extraction, and translation for copywriters.

Modular topic modeling framework using transformer embeddings and c-TF-IDF for interpretable, coherent topics.

Fast LLM serving framework with RadixAttention KV cache reuse and structured output (JSON/regex) natively.

Project MONAI's Apache-2.0 PyTorch framework for medical image segmentation, classification, and registration — the standard for AI radiology research.

Hugging Face's minimalist library for building agents that write and execute Python code as their primary action.

Secure cloud sandboxes for running AI-generated code — spin up a Python/JS interpreter in 150ms from your agent.

Roboflow's reusable computer vision utilities for annotation, tracking, and visualising detection model outputs.

First multi-agent framework based on role-playing LLM societies; supports 20+ agent types, tool use, RAG, and multi-modal tasks.

Alibaba's Apache-2.0 7B instruction model — top multilingual performance, 128k context, strong at coding and math.

OpenAI's open-source speech recognition model — accurate multilingual transcription and translation in one model.

NVIDIA's modular framework for training, fine-tuning, and deploying speech recognition, TTS, and large language models at scale.

OpenMMLab's comprehensive object detection toolbox with 40+ architectures and 300+ pretrained models.

Microsoft's autonomous R&D agent for iterative hypothesis generation, experimentation, and quantitative research automation.

Open-source Python library for building self-maintaining, schema-evolving data pipelines with minimal code.

Production LLM serving platform by BentoML — deploy any open-source LLM with one command.

Combines Grounding DINO and Segment Anything for text-prompt-driven object detection and precise segmentation in one pipeline.

Apache-2.0 toolkit for training intelligent game agents using deep RL and imitation learning directly inside Unity game environments.

Unified API gateway for 100+ LLM providers — call OpenAI, Anthropic, Gemini, Cohere, and local models with a single consistent interface.

Connect AI agents to the web: Browser Use lets LLMs browse, interact, and extract from any website autonomously.

Apache-licensed multi-cloud security assessment tool covering 500+ checks across AWS, Azure, GCP, and Kubernetes, including AI service misconfigurations.

Self-hosted, open-source AI coding assistant — code completion, chat, and codebase indexing on your own infra.

The leading data framework for LLM apps — 150+ data loaders, RAG pipelines, and agent tools for connecting any data source to any model.

Simple NLP library with SOTA models for NER, POS tagging, chunking, text classification, and contextual string embeddings.

Microsoft's universal document-to-Markdown converter: PDF, DOCX, PPTX, XLSX, HTML, images, audio, and ZIP — all to clean Markdown.

Apache-2.0 text embedding model with 8192-token context — the first open, auditable, long-context embedding.

Suno's transformer-based text-to-audio model that generates realistic speech, music, and sound effects from text.

Scripting language that lets LLMs interact with any system via natural language — run shell commands, call APIs, and chain tools.

Microsoft's open-source toolkit for building, evaluating, and deploying high-quality LLM applications end-to-end.

Meta FAIR's PyTorch library for deep learning with 3D meshes, point clouds, and volumetric data.

Farama Foundation's MIT-licensed multi-agent RL environment library — 50+ cooperative and competitive games for training and evaluating MARL algorithms.

BERT pre-trained on 12GB of diverse English legal text for superior legal NLP: case law, contracts, legislation, and EU/US court documents.

MIT-licensed security toolkit by ProtectAI that sanitizes LLM prompts and responses — blocking prompt injection, toxic content, PII leakage, and secrets.

Open-source ML and LLM observability framework for evaluating, monitoring, and testing AI system quality.

Build stateful, multi-actor agent workflows as directed graphs — cycles, branching, human-in-the-loop, and persistent state built in.

Apache-2.0 autonomous coding agent VS Code extension — plans, writes, runs, and debugs code end-to-end in your editor.

Meta's self-supervised ViT model producing universal visual features for classification, segmentation, depth estimation, and retrieval.

Facebook AI Similarity Search: blazing-fast library for efficient similarity search and clustering of dense vectors.

OpenMMLab's unified semantic segmentation toolbox with 40+ architectures (DeepLab, SegFormer, Mask2Former) and 250+ pretrained models.

Role-based multi-agent orchestration framework — define a crew of AI agents with distinct roles, tools, and goals that collaborate autonomously.

Python library for portfolio performance analytics: Sharpe/Sortino/Calmar ratios, drawdown reports, tearsheets.

Fast and accurate physics engine for robotics, biomechanics, and RL research, now open-sourced by DeepMind.

Platform for building stateful AI agents with advanced memory that can learn and self-improve over time.

TypeScript toolkit for building AI-powered apps and agents: streaming UI, structured outputs, tool calls, multi-step agents.

AI data lake with multimodal tensor storage, vector search, and serverless SQL — stream datasets directly to PyTorch and TensorFlow.

The open-source AI-native vector database — store, query, and filter embeddings with a simple Python API. Perfect for RAG and semantic search.

Microsoft's open-source quant research and trading platform with ML/RL model support, factor mining, portfolio optimization, and backtesting.

Microsoft's multi-agent conversation framework — build teams of LLM agents that converse, code, debate, and solve complex tasks together.

MIT-licensed Python library computing 12 readability scores (Flesch, Gunning Fog, SMOG, Dale-Chall, etc.) for content optimization and SEO.

EleutherAI's MIT-licensed unified benchmark suite — the de-facto standard for evaluating language models across 200+ tasks.

DeepMind's Apache-2.0 framework for game theory and RL research: 70+ games (Chess, Go, Poker, Hex), CFR, MCTS, deep RL, and Nash equilibrium solvers.

Modern open-source data pipeline builder with an interactive code editor, real-time execution, and built-in ML integrations.

Differentiable computer vision library built on PyTorch: geometry, augmentation, colour, filtering, feature extraction, and more.

High-performance vector database with filtering, payload storage, and a REST/gRPC API — built for production AI.

MIT-licensed 4.2M instruction dataset — GPT-4/3.5 augmented CoT traces that power top open-source fine-tunes.

Open-set object detector that grabs any object by text description — no class list needed at inference time.

Hugging Face library for parameter-efficient fine-tuning — LoRA, QLoRA, IA3, and more. Fine-tune billion-parameter models on a single consumer GPU.

AI4Finance Foundation's lightweight, open-source financial LLM fine-tuned on market news, earnings calls, and SEC filings for sentiment and forecasting.

NVIDIA's open-source toolkit for adding programmable safety, topical, and quality guardrails to LLM-based conversational systems.

Python tool to scrape, extract, and clean main text from web pages, with CSV/JSON/Markdown/XML output.

Self-hosted, open-source ML training metadata tracker with a powerful exploratory web UI.

Farama Foundation's Apache-2.0 fast gridworld RL environments for goal-conditioned, partially observable, and language-conditioned agent research.

Declarative YAML-based orchestration platform with 1500+ plugins for automating data, AI, and infrastructure workflows.

Fully open large language model from AllenAI: training code, weights, data, and eval all Apache-2.0.

Production-ready NLP pipeline framework for building search, RAG, and question-answering systems with any LLM.

Apache-2.0 fine-tuning framework — train any HuggingFace model with LoRA/QLoRA/full-fine-tune via a single YAML config.

Microsoft's open-source SDK for building AI agents and skills in C#, Python, and Java — composable, enterprise-ready, and model-agnostic.

Meta AI's music source separation model that splits any song into vocals, drums, bass, and other stems.

Kubernetes-native ML and data workflow orchestrator with first-class type safety, reproducibility, and multi-cloud support.

Allen AI's Apache-2.0 spaCy models for biomedical text with UMLS, MeSH, GO, HPO, and RxNorm entity linking and NER for genes, diseases, chemicals, and proteins.

MIT-licensed framework for evaluating LLMs and AI systems — build custom evals, run model comparisons, log results.

Expert-labeled dataset of 13,000+ annotations across 510 commercial contracts covering 41 legal clause types for contract review AI.

Real-time physics simulation for robotics and game AI using the Bullet physics engine with Python bindings.

Stanford's framework for programming — not prompting — LLMs: compile, optimize, and auto-tune modular AI systems.

Python library for audio and music analysis: spectrograms, MFCCs, beat tracking, pitch detection, and feature extraction.

Serverless, embedded vector database built on Lance columnar format — zero-copy, multimodal, no server needed.

LLM-powered multiagent persona simulation for synthetic UX research, focus groups, and business scenario testing.

OpenTelemetry-based observability SDK for LLM applications — traces, metrics, and logs for any AI framework.

Goldman Sachs's open-source Python library for derivatives pricing, risk analytics, and systematic trading.

Autonomous AI research agent that searches the web and produces detailed, cited research reports in minutes.

NVIDIA's open-source LLM vulnerability scanner that probes language models for prompt injection, jailbreaks, hallucinations, and more.

DKFZ's Apache-2.0 framework that automatically configures a U-Net for any medical image segmentation dataset — state-of-the-art results with zero manual tuning.

Modular Python framework for building AI agents with chain-of-thought reasoning, tool use, memory, and structured workflows.

CC-BY-SA-3.0 instruction dataset of 15k human-written prompts — the first commercially licensed open instruction dataset.

MIT-licensed deep learning framework for drug discovery and computational biology — molecular property prediction, virtual screening, and ADMET modelling.

Microsoft's graph-based RAG: build knowledge graphs from documents for global, multi-hop reasoning beyond vector search.

Foundation model for monocular depth estimation with state-of-the-art relative and metric depth from a single image.

Official MIT-licensed Python SDK for the Model Context Protocol — build MCP servers and clients with full spec compliance.

Stanford's LLM-powered knowledge curation agent that researches any topic and generates a full Wikipedia-style article.

Modern workflow orchestration — turn any Python function into a scheduled, observable, retriable data or AI pipeline with zero boilerplate.

Stanford NLP's Python library for tokenisation, sentence segmentation, NER, dependency parsing, and coreference across 70+ languages.

Intelligent memory layer for AI agents — automatically extracts, stores, and retrieves relevant context across sessions.

AI4Finance Foundation's framework for training RL agents to trade stocks, crypto, and forex with backtesting, paper trading, and live execution support.

OpenAI's MIT-licensed suite of 16 procedurally-generated 2D game environments for measuring generalization in reinforcement learning agents.

Framework-agnostic MLOps framework — build portable, production-ready ML pipelines that run anywhere.

MIT-licensed Python library for SEO, SEM, and digital marketing analysis: sitemap parsing, robots.txt analysis, keyword planning, and log file analysis.

Speaker diarisation and voice activity detection toolkit — who spoke when in any audio recording.

Open-source document ingestion library — partition PDFs, HTML, DOCX, and 25+ formats into clean elements for RAG pipelines.

Autonomous agent by OpenBMB with outer/inner loop planning, tool execution, and a human-in-the-loop GUI for long-horizon tasks.

Microsoft's MIT-licensed GPT trained on 15M PubMed abstracts for biomedical relation extraction, question answering, and literature text generation.

Git-like version control for ML datasets and pipelines — track experiments, reproduce results, and collaborate on data science projects.

All-in-one conversational AI toolkit for ASR, speaker recognition, speech enhancement, and language identification.

HuggingFace's few-shot text classification framework — match Legal-BERT accuracy with as few as 8 labeled contract examples, no prompt engineering.

Apache-2.0 LLM testing framework — pytest-style unit tests for RAG pipelines, chatbots, and LLM outputs.

MIT-licensed spaCy extension for clinical text processing — section detection, clinical concept extraction, negation, temporality, and UMLS entity linking.

Microsoft's open-source AI red-teaming toolkit for systematically finding risks in generative AI systems through automated adversarial probing.

Microsoft's code-first agent framework that converts user requests into executable Python snippets for complex data analytics tasks.

Structured outputs for LLMs using Pydantic — patches any OpenAI-compatible client to return validated Python objects.

Meta FAIR's C++/Python 3D simulator for embodied AI: 10,000+ SPS, photorealistic rendering, RGB-D/semantic sensors.

Meta's state-of-the-art neural audio codec achieving CD-quality compression at 1.5 kbps — the backbone of MusicGen and AudioCraft.

Python library with 7 summarization algorithms (LSA, Luhn, Lex Rank, TextRank) for documents and HTML pages.

End-to-end speech processing toolkit covering ASR, TTS, speech translation, enhancement, and speaker diarisation.

MIT-licensed BERT fine-tuned on MIMIC-III clinical notes for superior clinical embeddings — NER, relation extraction, and ICU outcome prediction.

Apache-2.0 RAG evaluation framework — faithfulness, answer relevancy, context recall, and more in one pip install.

DeepMind's MuJoCo-based physics simulation library and continuous-control RL benchmark suite.

Pydantic's type-safe agent framework: build production agents with structured I/O, dependency injection, and full observability.

All-in-one semantic search, RAG, and LLM workflow engine — embeddings, vector DB, and pipelines in one library.

Python SDK for AI agent monitoring, LLM cost tracking, session replay, and benchmarking across all major agent frameworks.

Apache-licensed Java/Python NLP toolkit with tokenization, sentence detection, NER, POS tagging, and chunking — production-ready for legal document pipelines.

Guaranteed structured generation from LLMs: enforce JSON, regex, grammar, or Pydantic schemas at the token level.

Meta FAIR's modular library to train and evaluate embodied AI agents (navigation, manipulation, social tasks).

LLM eval + red-teaming framework — test prompts and models against custom assertions, compare providers, and catch regressions in CI.

Lightweight BSD-licensed Python library providing 80+ stock technical indicators (RSI, MACD, Bollinger Bands, ATR) as simple DataFrame column lookups.

Python library for ML on brain imaging data: fMRI decoding, connectivity analysis, surface plotting.

Block's Apache-2.0 on-machine AI developer agent — runs tasks end-to-end in your terminal, any LLM backend.

Stanford CRFM's reproducible, multi-metric benchmark framework for evaluating any foundation model.

Open-source annotation platform for building high-quality fine-tuning and RLHF datasets; integrates with Hugging Face Hub.

Apache-2.0 unsupervised clinical NER and linking library that maps free-text clinical mentions to SNOMED CT, ICD-10, UMLS, and other biomedical ontologies.

Validate, fix, and filter LLM outputs — define structured schemas and safety rules, then automatically retry when outputs fail validation.

Google's Apache-2.0 TensorFlow library for quantitative finance — GPU-accelerated options pricing, rate models, Monte Carlo simulation, and autodiff Greeks.

Open-source LLM evaluation and observability platform — trace, test, and monitor LLM apps end-to-end.

State-of-the-art robot learning library from Hugging Face with pretrained policies for real and simulated manipulation tasks.

ProtectAI's self-hardening prompt-injection detector using a multi-stage defence: heuristics, LLM analysis, and a vector canary database.

Apache-2.0 Python framework for building MCP servers fast — decorator-based, zero boilerplate, typed tool definitions.

AI agent that retrieves, reads, and synthesises answers from scientific PDFs with citation-level accuracy.

Maintained fork of Quantopian's pyfolio providing comprehensive risk and return analytics, tear sheets, and performance attribution for quantitative strategies.

Python dataflow engine that wraps FSL, SPM, FreeSurfer, ANTs, and AFNI into reproducible neuroimaging pipelines.

AI4Finance Foundation's multi-agent platform for financial tasks — market forecasting, report generation, portfolio management, and earnings analysis.

Python library for robot kinematics, dynamics, and trajectory planning with a familiar MATLAB-like API.

Pythonic client for the arXiv API: search, download, and stream 2M+ preprints by query, author, or ID.

Multi-task benchmark for legal NLP with 7 datasets covering EURLEX classification, contract clause labeling, court judgement prediction, and more.

Red-teaming kit for agentic LLM workflows: 2000+ adversarial probes, RL-crafted injections, CI-ready.

Modular robot simulation framework built on MuJoCo for benchmarking robot learning algorithms.

Open-source AI-powered app starter built with Next.js and E2B sandboxes — let users generate and run full-stack apps from natural language.

MIT-licensed Django email marketing platform: subscriber management, campaign builder, open/click tracking, and segmentation — fully self-hosted.

Farama Foundation's collection of robotics simulation RL environments: FetchReach, ShadowHand, Maze, AdroitHand.

Microsoft Azure's CLI for adversarial robustness testing of ML models: evasion, poisoning, extraction attacks.

spaCy-based NLP pipeline for English legal text: named entity recognition for cases, legislation, and provisions, plus text categorization.

Active-learning annotation server for medical images: auto-segmentation, interactive refinement, OHIF/3D Slicer integration.

Interactive household simulation environment for embodied AI tasks including navigation and manipulation.

Self-hosted MIT-licensed SEO crawler and auditor: crawls websites, surfaces technical SEO issues, broken links, missing metadata, and duplicate content.

Google DeepMind's suite of 50+ multi-agent social RL scenarios testing cooperation, competition, and generalization.

ProtectAI's scanner that detects malicious payloads hidden inside pickle, PyTorch, TF, and Keras model files.

Integrates LLMs as spaCy pipeline components for NER, classification, lemmatisation, and relation extraction with zero/few-shot prompting.

Stanford RegLab's 53K+ multiple-choice legal holdings dataset for training and evaluating legal NLP models.

MIT-licensed NER models for German and multilingual legal documents, extracting courts, laws, citations, parties, and dates from case text.

MIT-licensed AI content platform for SEO blog posts, social copy, YouTube scripts, and podcast outlines grounded in real web research and competitor data.