Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch

Generates animated plots of different models of neural network classifiers during learning in order to compare them.

A Satellite Time Series Dataset for Crop Type Identification

A MongoDB kernel for Jupyter

Riemannian Adaptive Optimization Methods with pytorch optim

An implementation of SoftDTW for PyTorch.

Notebooks and Qualitatives Example to the Cloud-Robust Classification of Remote Sensing Time Series presentation at Phiweek 2019

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

Pytorch Custom CUDA kernel for searchsorted

Pytorch implementation of GRU-ODE-Bayes

List of tools & datasets for anomaly detection on time-series data.

Code for Optimal Transport for structured data with application on graphs

python script for running long/parallel simulations (either by direct execution or using oarsub)

Code for visualizing the loss landscape of neural nets

starter from "How to Train a GAN?" at NIPS2016

A list of papers on Generative Adversarial (Neural) Networks

Keras Generative Adversarial Networks

A couple of simple GANs in Keras

POT : Python Optimal Transport

Computer Science In Real Life

Python implementation of soft-DTW.

Dense Bag-of-Temporal-SIFT-Words