WARNING! This is my working fork! For the actual repo please go to

This repository contains implementations and illustrative code to accompany DeepMind publications

Multi-layer convolutional LSTM with Pytorch

Practical Deep Learning for Time Series / Sequential Data library based on fastai v2/ Pytorch

An ongoing repository of data on coronavirus cases and deaths in the U.S.

Reformer, the efficient Transformer, in Pytorch

A Deep Learning based project for colorizing and restoring old images (and video!)

🌊 A fast and friendly non-hydrostatic ocean model in Julia that can be run in 1-3 dimensions on CPUs and GPUs.

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Shallow water equation solver, the same as in milankl/swm, but written at a slightly higher level where the model is contained in a single class.

Implementation of DropBlock in Pytorch

Image restoration with neural networks but without learning.

Python code that solves nonlinear QG equations