Popular GitHub Repositories for Numpy

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Visualizer for neural network, deep learning and machine learning models

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 ML models with fast, easy-to-use and efficient data manipulation tools

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

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

Open Machine Learning Course

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

Trax — Deep Learning with Clear Code and Speed

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

A flexible framework of neural networks for deep learning

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

C++ tensors with broadcasting and lazy computing

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

NLP made easy

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

JAX - A curated list of resources https://github.com/google/jax