Smooth integration of tensor networks in machine learning

PyTorch toolbox for matrix product state models

Self-Correcting Quantum Many-Body Control using Reinforcement Learning with Tensor Networks

Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

A game theoretic approach to explain the output of any machine learning model.

The interactive graphing library for Python ✨ This project now includes Plotly Express!

The uncompromising Python code formatter

📘 The experiment tracker for foundation model training

Code for journal paper "Deep Learning for Land Cover Change Detection".

Combination of multiple linters to run as a GitHub Action or standalone

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

Windows system utilities to maximize productivity

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Statsmodels: statistical modeling and econometrics in Python

Python composable command line interface toolkit

The world’s fastest framework for building websites.

[IEEE TMI] Official Implementation for UNet++

Keras integration with TQDM progress bars

Streamlit — A faster way to build and share data apps.

Tools to generate training and classification data for machine learning purposes from multispectral Sentinel-2 satellite images.