mengyi-chen

mengyi-chen's Stars

• MLDS-NUS/onsagernet-jax

  jax implementation of OnsagerNet

  Language:Python2

• MathEXLab/PySPOD

  A Python package for spectral proper orthogonal decomposition (SPOD).

  Language:Jupyter Notebook10131

• mfinzi/equivariant-MLP

  A library for programmatically generating equivariant layers through constraint solving

  Language:Jupyter Notebook25521

• mctorch/mctorch

  A manifold optimization library for deep learning

  Language:Python23613

• MLDS-NUS/DeepLearningCustomThermodynamics

  Code for reviewers

  Language:Jupyter Notebook8

• pswpswpsw/nif

  A library for dimensionality reduction on spatial-temporal PDE

  Language:Jupyter Notebook5811

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.2k4.8k

• bitzhangcy/Neural-PDE-Solver

  772109

• hyperai/awesome-ai4s

  AI for Science 论文解读合集（持续更新ing），论文/数据集/教程下载：hyper.ai

  49468

• UCICaoLab/NKK

  Neural network kinetics - NNK

  Language:Python4

• microsoft/timewarp

  Timewarp is a research project using deep learning to accelerate molecular dynamics simulation.

  Language:Python404

• yuweihao/MambaOut

  MambaOut: Do We Really Need Mamba for Vision?

  Language:Python2k34

• bytedance/bamboo

  BAMBOO (Bytedance AI Molecular BOOster) is an AI-driven machine learning force field designed for precise and efficient electrolyte simulations.

  Language:Python304

• lammpstutorials/lammpstutorials-inputs

  LAMMPS input from lammpstutorials.github.io

  Language:Jupyter Notebook294

• molmod/openmm-tutorial-msbs

  OpenMM tutorial for the MSBS course

  Language:Jupyter Notebook14644

• erikher/GridCellTorus

  Language:Jupyter Notebook266

• marcellodebernardi/loss-landscapes

  Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch

  Language:Python30153

• vivekoommen/NPJCOMPUMATS-03747

  Learning two-phase microstructure evolution using neural operators and autoencoder architectures

  Language:Python228

• walsvid/CoordConv

  Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247

  Language:Jupyter Notebook15027

• FAIR-Chem/fairchem

  FAIR Chemistry's library of machine learning methods for chemistry

  Language:Python869258

• yuhj1998/OnsagerNet

  Learning hidden low dimensional dyanmics using a Generalized Onsager Principle and neural networks

  Language:Python91

• JuDFTteam/best-of-atomistic-machine-learning

  🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.

  38837

• sha256feng/mldl-md-dynamics

  A repository of update in molecular dynamics field by recent progress in machine learning and deep learning.

  29554

• burning489/ConditionalFollmerFlow

  Official Implementations for `Deep Conditional Generative Learning: Model and Error Analysis`

  Language:Python7

• wwang2/Coarse-Graining-Auto-encoders

  Language:Jupyter Notebook4014

• kyonofx/mlcgmd

  [TMLR 2023] Simulate time-integrated coarse-grained MD with multi-scale graph neural networks

  Language:Python679

• noegroup/flowm

  Flow-matching for coarse graining of miniproteins.

  Language:Python142

• openai/guided-diffusion

  Language:Python6.2k822

• atong01/conditional-flow-matching

  TorchCFM: a Conditional Flow Matching library

  Language:Python1.2k97

• BorealisAI/continuous-time-flow-process

  PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

  Language:Python464