rasbt / LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
rasbt / LLMs-from-scratch
facebookresearch / dinov3
Reference PyTorch implementation and models for DINOv3
CalvinXKY / InfraTech
分享AI Infra知识&代码练习：PyTorch、vLLM/SGLang、slime/vime框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等
AccumulateMore / CV
✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
walkinglabs / hands-on-modern-rl
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
charliedream1 / ai_quant_trade
Stock AI Trader: 1-stop platform for learning, sim & live trading. Covers: stock basics, strategies, LLMs, factor mining, ML/DL/RL, graph nets, HFT, C++ deploy & JoinQuant code. 股票AI操盘手：一站式学习、模拟、实盘平台。涵盖：股票基础、策略、大模型、因子挖掘、机器学习/深度学习/强化学习、图网络、高频交易、C++部署及聚宽代码。
mrdbourke / pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
rasbt / reasoning-from-scratch
Implement a reasoning LLM in PyTorch from scratch, step by step
duoan / TorchCode
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.
ageron / handson-mlp
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.
facebookresearch / dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
Exorust / TorchLeet
LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor.
datawhalechina / base-llm
从 NLP 到 LLM 的算法全栈教程，在线阅读地址：https://datawhalechina.github.io/base-llm/
snakers4 / silero-models
Silero Models: pre-trained text-to-speech models made embarrassingly simple
hemansnation / AI-Engineer-Headquarters
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
Denys88 / rl_games
RL implementations
Ramakm / AI-Engineering
A group of notebooks and other files which can help you learn AI from scratch.
roboflow / notebooks
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
TingsongYu / PyTorch-Tutorial-2nd
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
meta-pytorch / botorch
Bayesian optimization in PyTorch
girafe-ai / ml-course
Open Machine Learning course
Project-MONAI / tutorials
MONAI Tutorials
datawhalechina / torch-rechub
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
mlmed / torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
charliedream1 / ai_wiki
《AI全栈-全网优秀资源搜集站》：搜集全网优秀资源，记载工程实践问题的解决策略与关键要点，分享各种实用案例，追踪前沿技术发展，囊括 AI 全栈知识，涵盖大模型、编程技术、机器学习、深度学习、强化学习、图神经网络、语音识别、NLP 及图像识别等领域
IBM / aihwkit
IBM Analog Hardware Acceleration Kit
rasbt / ai-detector-from-scratch
End-to-end project training and building AI models / LLMs to detect AI-written text
fastai / fastai
The fastai deep learning library
nianticlabs / monodepth2
[ICCV 2019] Monocular depth estimation from a single image
google-ai-edge / litert-torch
Support PyTorch model conversion with LiteRT.
NVIDIA / torch-harmonics
Differentiable signal processing on the sphere for PyTorch
khalil-research / PyEPO
A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
yandexdataschool / Practical_RL
A course in reinforcement learning in the wild
skorch-dev / skorch
A scikit-learn compatible neural network library that wraps PyTorch
roatienza / Deep-Learning-Experiments
Videos, notes and experiments to understand deep learning
a-r-j / graphein
Protein Graph Library
yangheng95 / PyABSA
Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
wx-chevalier / AI-Notes
:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记
understandable-machine-intelligence-lab / Quantus
[JMLR 2023] Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
LukeDitria / pytorch_tutorials
Beginner Level Deep Learning Tutorials in Pytorch with Youtube Videos!
RajatDandekar / build-a-world-model-from-scratch
Build a World Model from Scratch — the Vizuara AI lecture series: slides, from-scratch code, and Colab notebooks
hamza01055 / ml-from-scratch
Machine learning from scratch with Python and NumPy. Explore 12 chapters covering regression, neural networks, trees, clustering, SVMs, and autodiff with mathematical derivations, interactive notebooks, gradient verification, and 59 automated tests. No scikit-learn or PyTorch.
dusty-nv / jetson-containers
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
karpathy / micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
wolny / pytorch-3dunet
3D U-Net model for volumetric semantic segmentation written in pytorch