AI & ML

The most popular Deep Learning framework created by Google.

A framework that lets you easily use pre-trained transformer models for NLP, vision, and audio tasks.

An adaptive AI agent framework that grows with you.

Building applications with LLMs through composability.

Tensors and Dynamic neural networks in Python with strong GPU acceleration.

A general-purpose automatic speech recognition model trained on 680k hours of multilingual and multitask supervised data.

A collection of tools and datasets for Chinese NLP.

A high-throughput and memory-efficient inference and serving engine for LLMs.

A multi-agents LLM financial trading framework.

The most popular Python library for Machine Learning with extensive documentation and community support.

A library for faster LLM fine-tuning and training with reduced memory usage.

A high-level deep learning library with support for JAX, TensorFlow, and PyTorch backends.

A programming framework for building agentic AI applications.

Ultralytics YOLO for object detection, segmentation, pose estimation, and classification with state-of-the-art accuracy and speed.

An intelligent memory layer for AI agents enabling personalized interactions.

A framework for orchestrating role-playing autonomous AI agents for collaborative task solving.

A data framework for your LLM application.

A family of open-source voice AI models from Microsoft for text-to-speech and long-form speech recognition.

Apache Spark's scalable Machine Learning library for distributed computing.

MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries.

A library for high-performance numerical computing with automatic differentiation and JIT compilation.

The most popular Chinese text segmentation library.

A framework for programming, not prompting, language models.

A library that provides pre-trained diffusion models for generating and editing images, audio, and video.

A library for industrial-strength natural language processing in Python and Cython.

Deep learning framework to train, deploy, and ship AI products Lightning fast.

Ready-to-use OCR with 40+ languages supported.

A scalable, portable, and distributed gradient boosting library.

A high-performance serving framework for large language models and multimodal models.

OpenAI's framework for building and managing AI agents.

A pretrained foundation model from Google Research for time-series forecasting.

A tokenizer-free text-to-speech foundation model for multilingual speech generation and voice cloning.

A fast, distributed, high performance gradient boosting framework.

A Python agent framework for building generative AI applications with structured schemas.

Topic Modeling for Humans.

A leading platform for building Python programs to work with human language data.

Approximate Nearest Neighbors in C++/Python optimized for memory usage.

PyTorch implementations of Stable Baselines (deep) reinforcement learning algorithms.

A library for extracting structured data from LLMs, powered by Pydantic.

Open Source Differentiable Computer Vision Library for PyTorch.

A fast, scalable, high performance gradient boosting on decision trees library.

The Stanford NLP Group's official Python library, supporting 60+ languages.

Open Source Fast Scalable Machine Learning Platform.

A scikit for building and analyzing recommender systems.

A wrapper for Google Tesseract OCR.

A framework that wraps any agent handler with DID-based cryptographic identity, A2A JSON-RPC over HTTP, OAuth2 auth, x402 (USDC) payments, and a built-in operator inbox.

Run and fine-tune large language models on Apple Silicon with MLX.

Python-friendly security skills for auditing, testing, and safer backend development. Also skills-curated.

Open Source Computer Vision Library.

An open-source AgentOS for multi-agent orchestration and building agentic AI systems.

A fast Python implementation of collaborative filtering for implicit datasets.

A Python library for probabilistic graphical models and Bayesian networks.

Open-source, local-first memory for any tool-capable LLM agent.

sklearn compatible API with the widest toolset for feature engineering and selection.

A lightweight, hook-first Python framework for channel-native agents that live alongside people.

A framework for building end-to-end production-ready agentic systems, scalable & secure MCP's and autonomous agents.

Python-focused engineering skills for code review, debugging, and backend workflows.

Synthetic tabular data generation using GANs, Diffusion Models, and LLMs.

A deterministic Python orchestrator for CLI coding agents (Claude Code, Codex, Gemini CLI, and 40+ more) with parallel git worktrees and an HMAC-signed audit chain.

Django backend agent skills for Django, DRF, Celery, and Django-specific code review.