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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
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
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
The 3rd edition of course.fast.ai
Probabilistic reasoning and statistical analysis in TensorFlow