pujaltes's Stars
szagoruyko/pytorchviz
A small package to create visualizations of PyTorch execution graphs
microsoft/Graphormer
Graphormer is a general-purpose deep learning backbone for molecular modeling.
evolutionaryscale/esm
rmcelreath/stat_rethinking_2024
dauparas/ProteinMPNN
Code for the ProteinMPNN paper
fudan-generative-vision/dynamicPDB
Dynamic Protein Data Bank
mert-kurttutan/torchview
torchview: visualize pytorch models
ACEsuit/mace
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
mosquito/aiofile
Real asynchronous file operations with asyncio support.
vgsatorras/egnn
recursionpharma/gflownet
GFlowNet library specialized for graph & molecular data
a-r-j/ProteinWorkshop
Benchmarking framework for protein representation learning. Includes a large number of pre-training and downstream task datasets, models and training/task utilities. (ICLR 2024)
openmm/openmm-torch
OpenMM plugin to define forces with neural networks
IntelLabs/matsciml
Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.
noegroup/bgflow
Boltzmann Generators and Normalizing Flows in PyTorch
siboehm/ShallowSpeed
Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
wonmor/ElectronVisualized
Public Archive: Beautiful and Elegant Quantum Mechanics Visualization.
lujiarui/Str2Str
Codebase of the paper "Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling" (ICLR 2024)
microsoft/two-for-one-diffusion
This Denoising Force Field (DFF) codebase provides a Pytorch framework for the method presented in Two for one: Diffusion models and force fields for coarse-grained molecular dynamics.
microsoft/timewarp
Timewarp is a research project using deep learning to accelerate molecular dynamics simulation.
mirunacrt/synflownet
A GFlowNet with a chemical synthesis action space.
KULL-Centre/_2023_Tesei_IDRome
Chokyotager/NotYetAnotherNightshade
Graph variational encoders for drug engineering and potentiation
giacomo-janson/idpsam
Generate intrinsically disordered peptide conformations via machine learning
kyonofx/scdp
[NeurIPS 2024] source code for "A Recipe for Charge Density Prediction"
sai-advaith/evoformer_representation
annavaughan/aardvark-weather-public
noegroup/aggforce
Force aggregation code aimed at coarse-grained molecular dynamics
ValDelch/B_CNNs
alan-turing-institute/hpc-landscape