OpenMDAO repository.

Image processing examples with Numpy, Scipy, and Scikit-image

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

This is module to call multiple library (currently pyDOE, diversipy) to create a latin hyper cube sampling method. This module also provides features on manipulating LHS and helpful functions for u…

TensorFlow's Visualization Toolkit

A tutorial for some advanced git commands for command line

📖 An opinionated intermediate/advanced Git book

GitKraken Glo Productivity plugin for Chrome. Allows you to create Glo cards with content from the web, track time and integrate specialised tools. Awarded by Axosoft in its Glo contest.

All the Git-it Workshop completers!

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

The uncompromising Python code formatter

Provides an uniform layer to support PyQt5, PySide2, PyQt6, PySide6 with a single codebase

A tutorial for people who want to learn how to start using Python to read and write XML.

XML Schema validator and data conversion library for Python

A survey of computational physics problems in Python. Includes quantum mechanics, electrostatics, ODEs, PDEs, Monte Carlo, Fourier analysis, molecular modeling, cluster growth, genetic algorithm, …

The project of solving Partial Differential Equations by numerical methods (Finite Difference, Finite Element, etc. Implemented in Python, Hao Zhao)

Solving the diffusion/heat equation in 1D and 2D

Deep universal probabilistic programming with Python and PyTorch

TensorFlow-based neural network library

Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"

Explaining the Math of how neural networks learn

All Algorithms implemented in Python

Repo for Stieffel Optimization for Fluid Flow Prediction

Debug PyTorch code using PySnooper

Koopman Reduced-Order Nonlinear Identification and Control

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.