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Python - 100天从新手到大师
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Learn how to design, develop, deploy and iterate on production-grade ML applications.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A game theoretic approach to explain the output of any machine learning model.
Learn OpenCV : C++ and Python Examples
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
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"
Data and code behind the articles and graphics at FiveThirtyEight
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Natural Language Processing Tutorial for Deep Learning Researchers
Examples and guides for using the Gemini API
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
My blogs and code for machine learning. http://cnblogs.com/pinard
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
this repository accompanies the book "Grokking Deep Learning"
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
Notebooks for learning deep learning
Data Science Using Python
Repo for the Deep Reinforcement Learning Nanodegree program