Python - 100天从新手到大师

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

The fastai book, published as Jupyter Notebooks

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

Natural Language Processing Tutorial for Deep Learning Researchers

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词（Structured Prompt）提出者 📌 元提示词（Meta-Prompt）发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt…

TensorFlow Tutorials with YouTube Videos

Overview and tutorial of the LangChain Library

An annotated implementation of the Transformer paper.

Google Brain AutoML

TensorFlow documentation

Code for Tensorflow Machine Learning Cookbook

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Reference models and tools for Cloud TPUs.

links to conference publications in graph-based deep learning

Data augmentation for NLP

Homepage for STAT 157 at UC Berkeley

中文nlp解决方案(大模型、数据、模型、训练、推理)

Notes about courses Dive into Deep Learning by Mu Li

Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

MLOps examples

汉语自然语言处理视频教程-开源学习资料

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖