hspark1212's Stars
jax-ml/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
deep-diver/paper-reviewer
Generate a comprehensive review from an arXiv paper, then turn it into a blog post. This project powers the website below for the HuggingFace's Daily Papers (https://huggingface.co/papers).
cccntu/minLoRA
minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.
mir-group/allegro
Allegro is an open-source code for building highly scalable and accurate equivariant deep learning interatomic potentials
glotzerlab/hoomd-blue
Molecular dynamics and Monte Carlo soft matter simulation on GPUs.
microsoft/mattersim
MatterSim: A deep learning atomistic model across elements, temperatures and pressures.
mir-group/flare
An open-source Python package for creating fast and accurate interatomic potentials.
orbital-materials/orb-models
ORB forcefield models from Orbital Materials
abTEM/abTEM
ab initio Transmission Electron Microscopy
NVIDIA/cuEquivariance
cuEquivariance is a math library that is a collective of low-level primitives and tensor ops to accelerate widely-used models, like DiffDock, MACE, Allegro and NEQUIP, based on equivariant neural networks.
MorganCThomas/MolScore
An automated scoring function to facilitate and standardize the evaluation of goal-directed generative models for de novo molecular design
openmm/spice-dataset
A collection of QM data for training potential functions
daskol/typst-templates
A list of paper templates in the area of machine learning.
thorben-frank/mlff
Build neural networks for machine learning force fields with JAX
hkproj/pytorch-lora
LORA: Low-Rank Adaptation of Large Language Models implemented using PyTorch
basf/mlipx
Machine-Learned Interatomic Potential eXploration (mlipx) is designed at BASF for evaluating machine-learned interatomic potentials (MLIPs). It offers a growing set of evaluation methods alongside powerful visualization and comparison tools.
atomind-ai/mlip-arena
Fair and transparent benchmark of machine-learned interatomic potentials (MLIPs), beyond basic error metrics
zincware/ZnDraw
Display and Edit Molecules (https://zndraw.icp.uni-stuttgart.de)
hspark1212/chemeleon
A text-guided diffusion model for crystal structure generation
ASK-Berkeley/EScAIP
[NeurIPS 2024] Official implementation of the Efficiently Scaled Attention Interatomic Potential
Garden-AI/garden
hspark1212/DAC-SIM
A molecular simulation package integrating MLFFs in MOFs for DAC
killiansheriff/ChemicalMotifIdentifier
A Python package to perform a chemical motif characterization of short-range order.
imagdau/Tutorials
Collection of Tutorials on Machine Learning Interatomic Potentials
francisengelmann/points2objects
lrcfmd/LEAF
Local Environment-based Atomic Features
mtap-research/CoRE-MOF-Tools
virtualatoms/AnisoNet
This repository contains neccessary code to train AnisoNet, an equivariant graph neural network for predicting dielectric tensors of crystals.
sandeep-iitr/LORA_Playground
LORA (Low-Rank Adaptation) to showcase an efficient way to fine-tune deep learning models.
Natniif/GrouPy
Group Equivariant Convolutional Neural Networks