Tensors and Dynamic neural networks in Python with strong GPU acceleration

The 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 than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

Python Data Science Handbook: full text in Jupyter Notebooks

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Visualizer for neural network, deep learning and machine learning models

The fundamental package for scientific computing with Python.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

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

A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support

Machine learning, in numpy

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

100 numpy exercises (with solutions)

Parallel computing with task scheduling

机器学习相关教程

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An open access book on scientific visualization using python and matplotlib

NumPy aware dynamic Python compiler using LLVM

NumPy & SciPy for GPU

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

Open Machine Learning Course

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy

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

《利用Python进行数据分析·第2版》

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

Trax — Deep Learning with Clear Code and Speed

Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy

tensorboard for pytorch (and chainer, mxnet, numpy, ...)