Tensors and Dynamic neural networks in Python with strong GPU acceleration

Python Data Science Handbook: full text in Jupyter Notebooks

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

Visualizer for neural network, deep learning and machine learning models

The fundamental package for scientific computing with Python.

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Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

Convert Machine Learning Code Between Frameworks

Parallel computing with task scheduling

100 numpy exercises (with solutions)

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

机器学习相关教程

An open access book on scientific visualization using python and matplotlib

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

NumPy aware dynamic Python compiler using LLVM

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Open Machine Learning Course

NumPy & SciPy for GPU

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)