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adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

adaptivefourierneuraloperator

aipoincare

Counting the number of conservation laws from trajectory data

alphafold

Open source code for AlphaFold.

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

aphros

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

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

automatic_strain_sensor_design

awesome-collision-detection

:sunglasses: A curated list of awesome collision detection libraries and resources

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

b-pinns

Pytorch implementation of Bayesian physics-informed neural networks

b-small

This repo contains code for the paper: "B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning".

bayes-by-backprop

" Weight Uncertainty in Neural Networks"

bayesde

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

cfdbench

A comprehensive benchmark for machine learning methods in fluid dynamics

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

cheatsheets

Official Matplotlib cheat sheets

chemprop

Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

chirality_nets

[NeurIPS2019] Chirality Nets for Human Pose Regression

cloc

cloc counts blank lines, comment lines, and physical lines of source code in many programming languages.

constrained-hamiltonian-neural-networks

cupy

NumPy & SciPy for GPU

deeplstm

Deep LSTM for highly nonlinear system modeling

deepmd-kit

A deep learning package for many-body potential energy representation and molecular dynamics

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepsets

deepxde

A library for scientific machine learning and physics-informed learning

denoising-diffusion-model

A simple guide to diffusion models. Helpful in understanding the concept and practicing with the method.

devrf

The Pytorch implementation of "DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes"

diff_pd_public