Starred repositories
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
100-Days-Of-ML-Code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
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版
The "Python Machine Learning (1st edition)" book code repository and info resource
AISystem 主要是指AI系统,包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
Build your neural network easy and fast, 莫烦Python中文教学
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
this repository accompanies the book "Grokking Deep Learning"
Understanding Deep Learning - Simon J.D. Prince
✔(已完结)最全面的 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】
搜集、整理、发布 中文 自然语言处理 语料/数据集,与 有志之士 共同 促进 中文 自然语言处理 的 发展。
An annotated implementation of the Transformer paper.
Book_1_《编程不难》 | 鸢尾花书:从加减乘除到机器学习;请多多批评指正!
本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
The "Python Machine Learning (3rd edition)" book code repository
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
Jupyter notebooks for the Natural Language Processing with Transformers book