AI & ML

Call 100+ LLMs using OpenAI format.

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

Building applications with LLMs through composability.

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

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

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

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

Low-level orchestration framework for building stateful, long-running LLM agents.

Open Source Computer Vision Library.

A scalable, portable, and distributed gradient boosting library.

OpenAI's framework for building and managing AI agents.

Anthropic's Python SDK for building AI agents on Claude Code's harness — custom tools, in-process MCP servers, hooks.

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

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

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

A fast, distributed, high performance gradient boosting framework.

A wrapper for Google Tesseract OCR.

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

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

The most popular Deep Learning framework created by Google.

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

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

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

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

A data framework for your LLM application.

A framework for programming, not prompting, language models.

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

A standard API for reinforcement learning environments with popular reference environments (gym successor).

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

The most popular Chinese text segmentation library.

Topic Modeling for Humans.

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

An intelligent memory layer for AI agents enabling personalized interactions.

Open Source Differentiable Computer Vision Library for PyTorch.

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

Python library and CLI tool for converting text to speech using Google Translate TTS.

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

Convert Chinese hanzi (漢字) to pinyin (拼音).

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

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

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

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

A Python library for probabilistic graphical models and Bayesian networks.

A context database for AI agents that unifies memory, resources, and skills.

Industrial-grade speech recognition toolkit with 170x realtime speed, 50+ languages, speaker diarization, and emotion detection.

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

A fast Python implementation of collaborative filtering for implicit datasets.

An adaptive personal AI assistant that grows with you.

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

The open-source tool for building high-quality datasets and computer vision models.

A scikit for building and analyzing recommender systems.

A graph-native context and knowledge layer for AI agents with reasoning, provenance, and governance.

A framework for fine-tuning and post-training large language models.

Paranoid text spacing.

Lightweight ONNX text-to-speech library with small CPU-friendly models.

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

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

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

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