Interpreting Convolutional Neural Network (CNN) Results.
Easy to use test framework for Jupyter Notebooks
All image quality metrics you need in one package.
Write numeric code that automatically works with any numpy-ish libraries.
Quantified Self (QS) Ledger
Quantified Self Personal Data Aggregator and Data Analysis
Pure Python dashboard for monitoring deep learning experiments (like TensorBoard for PyTorch/MXNet/etc, without a browser)
Pytorch GAN Zoo
A mix of GAN toolbox implementations including progressive growing
A Generic Implementation of Variational Auto-Decoder
Implementation of: “Exploring Randomly Wired Neural Networks for Image Recognition”
Implementation of “Faster Training of Mask R-CNN by Focusing on Instance Boundaries”
A Python package for time series transformation and classification
A library for real-time video stream decoding to CUDA memory providing integration with frameworks such as PyTorch
PyTorch C++ Reinforcement Learning