numpy

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

Efficiently computes derivatives of NumPy code.

A flexible framework of neural networks for deep learning

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

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

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

This is Andrew NG Coursera Handwritten Notes.

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

NLP made easy

Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

This repository helps you learn Python and Machine Learning from scratch.

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

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

ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy