An opinionated list of awesome Python frameworks, libraries, software and resources.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Virtual whiteboard for sketching hand-drawn like diagrams

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

A curated list of awesome Machine Learning frameworks, libraries and software.

The Python programming language

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

LlamaIndex is the leading framework for building LLM-powered agents over your data.

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DSPy: The framework for programming—not prompting—language models

The fundamental package for scientific computing with Python.

You like pytorch? You like micrograd? You love tinygrad! ❤️

ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration

The fastai deep learning library

Integrate cutting-edge LLM technology quickly and easily into your apps

Awesome-LLM: a curated list of Large Language Model

MLX: An array framework for Apple silicon

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

The most customizable typing website with a minimalistic design and a ton of features. Test yourself in various modes, track your progress and improve your speed.

State-of-the-Art Text Embeddings

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

This repository is outdated and new Boost Note app is available! We've launched a new Boost Note app which supports real-time collaborative writing. https://github.com/BoostIO/BoostNote-App

z - jump around

Network Analysis in Python

This repository contains implementations and illustrative code to accompany DeepMind publications

structured outputs for llms

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.