Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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

Robust Speech Recognition via Large-Scale Weak Supervision

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

Deep Learning for humans

A natural language interface for computers

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.

OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Low-code framework for building custom LLMs, neural networks, and other AI models

YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]

Open Machine Learning Course

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

Perform data science on data that remains in someone else's server

Implementation of Nougat Neural Optical Understanding for Academic Documents

Fast Segment Anything

Image processing in Python

PyTorch native post-training library

OpenChat: Advancing Open-source Language Models with Imperfect Data

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

A data augmentations library for audio, image, text, and video.

🔥 基于大模型和 RAG 的智能问数系统，对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.

📡 All You Need to Know About Deep Learning - A kick-starter