santi921's Stars
facebook/docusaurus
Easy to maintain open source documentation websites.
KindXiaoming/pykan
Kolmogorov Arnold Networks
facebookresearch/nevergrad
A Python toolbox for performing gradient-free optimization
recp/cglm
📽 Highly Optimized 2D / 3D Graphics Math (glm) for C
sourcery-ai/sourcery
Instant AI code reviews
holoviz/hvplot
A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews
Ligo-Biosciences/AlphaFold3
Open source implementation of AlphaFold3
ccsb-scripps/AutoDock-Vina
AutoDock Vina
WillHua127/GraphKAN-Graph-Kolmogorov-Arnold-Networks
orbital-materials/orb-models
ORB forcefield models from Orbital Materials
pyt-team/TopoModelX
Topological Deep Learning
brianhie/efficient-evolution
Efficient evolution from protein language models
isayevlab/AIMNet2
aiqm/aimnet
Atoms In Molecules Neural Network Potential
ebekkers/ponita
Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space.
OUnke/SpookyNet
Reference implementation of "SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects"
dariokonopatzki/Deep-Learning-Foundations-and-Concepts-Solutions
My solutions to DLFC - Deep Learning: Foundations and Concepts
AlexDuvalinho/GraphSVX
Explanation method for Graph Neural Networks (GNNs)
BingqingCheng/cace
atomind-ai/mlip-arena
Fair and transparent benchmark of machine-learned interatomic potentials (MLIPs), beyond basic error metrics
AIforGreatGood/charge3net
Higher-order equivariant neural networks for charge density prediction in materials
mqcomplab/MDANCE
MDANCE is a flexible n-ary clustering package for all applications.
isayevlab/aimnetnse
AIMNet-NSE model
AndMastro/EdgeSHAPer
EdgeSHAPer: Bond-Centric Shapley Value-Based Explanation Method for Graph Neural Networks
zhangylch/FIREANN
add the influence of external field to REANN model
zubatyuk/aimnet2
AIMNet2: Fast, accurate and transferable neural network interatomic potential
Genentech/voxmol
Open-Catalyst-Project/om-data
ASK-Berkeley/StABlE-Training
A repo to finetune NNIPs by training on observables
gomesgroup/simg
Advancing Molecular Machine (Learned) Representations with Stereoelectronics-Infused Molecular Graphs