Stars
Curated list of project-based tutorials
An Open Source Machine Learning Framework for Everyone
🤗 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.
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
The new Windows Terminal and the original Windows console host, all in the same place!
Models and examples built with TensorFlow
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Streamlit — A faster way to build and share data apps.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
TensorFlow code and pre-trained models for BERT
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
PyTorch Tutorial for Deep Learning Researchers
Windows Calculator: A simple yet powerful calculator that ships with Windows
A playbook for systematically maximizing the performance of deep learning models.
Productive, portable, and performant GPU programming in Python.
Python sample codes and textbook for robotics algorithms.
Generative Models by Stability AI
Library for fast text representation and classification.