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 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.

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

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

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

Open Source Computer Vision Library.

A scalable, portable, and distributed gradient boosting library.

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

OpenAI's framework for building and managing AI agents.

A fast, distributed, high performance gradient boosting framework.

A wrapper for Google Tesseract OCR.

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

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

The most popular Deep Learning framework created by Google.

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

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

A library for parameter-efficient fine-tuning of large pretrained models.

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.

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

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

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

A framework for programming, not prompting, language models.

The most popular Chinese text segmentation library.

A data framework for your LLM application.

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

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.

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

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

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

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

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

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

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

A Python library for probabilistic graphical models and Bayesian networks.

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

A fast Python implementation of collaborative filtering for implicit datasets.

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

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

An adaptive personal AI assistant that grows with you.

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.