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MingzhiZhang
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Python Data Science Handbook: full text in Jupyter Notebooks
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.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
The fastai book, published as Jupyter Notebooks
100-Days-Of-ML-Code中文版
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"
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
A collection of various deep learning architectures, models, and tips
深度学习入门教程, 优秀文章, Deep Learning Tutorial
One has no future if one couldn't teach themself.
《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
Your new Mentor for Data Science E-Learning.
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
FinRL: Financial Reinforcement Learning. 🔥
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
An open-source, low-code machine learning library in Python
Automatic extraction of relevant features from time series:
Image restoration with neural networks but without learning.
Sample code for Channel 9 Python for Beginners course
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A course in reinforcement learning in the wild
A scikit-learn compatible neural network library that wraps PyTorch
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
links to conference publications in graph-based deep learning
Probabilistic reasoning and statistical analysis in TensorFlow