Code for "Deep Signature Transforms" (NeurIPS 2019)

Reconstructing shared causal drivers from noisy time series

Framework for learning effective reduced order dynamics of molecular systems.

Framework to learn effective dynamics and couple a macro scale simulator with a fast neural network latent propagator.

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

torchview: visualize pytorch models

Adaptive Learning of Effective Dynamics

Official code for UnICORNN (ICML 2021)

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Finite volume solver for incompressible multiphase flows with surface tension. Foaming flows in complex geometries.

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.

A collection of scripts for molecular dynamics simulations with BXD in energy space in 2D and 3D systems.

Keras implementation of Legendre Memory Units

A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.

Guidelines for giving a bad scientific talk

Multi-layer convolutional LSTM with Pytorch