Popular GitHub Repositories for Dynamics365

Fast and Easy Infinite Neural Networks in Python

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

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

A package for the sparse identification of nonlinear dynamical systems from data

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Word GPT Plus is a word add-in which integrates the chatGPT model into Microsoft Word. Both official and web api is supported.

SchNetPack - Deep Neural Networks for Atomistic Systems

End-To-End Molecular Dynamics (MD) Engine using PyTorch

Object detection on multiple datasets with an automatically learned unified label space.

Code for our paper "Hamiltonian Neural Networks"

Differentiable Fluid Dynamics Package

Training neural network potentials

A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks

Tensor network based quantum software framework for the NISQ era

RAISIM, A PHYSICS ENGINE FOR ROBOTICS AND AI RESEARCH

[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Tensorflow + Molecules = TensorMol

[ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning