🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.
🏆 A ranked list of awesome atomistic machine learning (AML) projects. Updated quarterly.
This curated list contains 360 awesome open-source projects with a total of 180K stars grouped into 22 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml.
The current focus of this list is more on simulation data rather than experimental data, and more on materials rather than drug design. Nevertheless, contributions from other fields are warmly welcome!
🧙♂️ Discover other best-of lists or create your own.
Projects that focus on enabling active learning, iterative learning schemes for atomistic ML.
MIT
C++
ML-IAP
GitHub (👨💻 37 · 🔀 61 · 📥 5 · 📦 10 · 📋 200 - 15% open · ⏱️ 26.05.2023):
it clone https://github.com/mir-group/flare
MIT
GitHub (👨💻 11 · 🔀 11 · 📋 20 - 25% open · ⏱️ 03.10.2023):
it clone https://github.com/ulissigroup/finetuna
Unlicensed
Julia
GitHub (👨💻 3 · 🔀 6 · 📋 10 - 40% open · ⏱️ 21.09.2023):
it clone https://github.com/ACEsuit/ACEHAL
Projects that focus on biomolecules, protein structure, protein folding, etc. using atomistic ML.
Apache-2
GitHub (👨💻 20 · 🔀 2K · 📦 10 · 📋 820 - 27% open · ⏱️ 12.04.2024):
it clone https://github.com/deepmind/alphafold
Apache-2
GitHub (👨💻 7 · 🔀 61 · 📥 3.3K · 📋 68 - 25% open · ⏱️ 08.01.2024):
it clone https://github.com/dptech-corp/Uni-Fold
Projects that collect atomistic ML resources or foster communication within community.
🔗 AI for Science Map - Interactive mindmap of the AI4Science research field, including atomistic machine learning, including papers,..
🔗 Atomic Cluster Expansion - Atomic Cluster Expansion (ACE) community homepage.
🔗 CrystaLLM - Generate a crystal structure from a composition. language-models
generative
pre-trained
transformer
🔗 matsci.org - A community forum for the discussion of anything materials science, with a focus on computational materials science..
🔗 Matter Modeling Stack Exchange - Machine Learning - Forum StackExchange, site Matter Modeling, ML-tagged questions.
CC-BY-4.0
general-ml
Python
GitHub (👨💻 45 · 🔀 2.2K · 📋 53 - 35% open · ⏱️ 18.04.2024):
it clone https://github.com/ml-tooling/best-of-ml-python
MIT
general-ml
rep-learn
GitHub (👨💻 12 · 🔀 740 · ⏱️ 30.03.2024):
it clone https://github.com/naganandy/graph-based-deep-learning-literature
MIT
datasets
benchmarking
MIT
datasets
benchmarking
MIT
generative
pre-trained
drug-discovery
GitHub (👨💻 20 · 🔀 64 · 📋 95 - 1% open · ⏱️ 25.04.2024):
it clone https://github.com/GT4SD/gt4sd-core
GPL-3.0 license
GitHub (👨💻 26 · 🔀 52 · 📋 12 - 16% open · ⏱️ 28.03.2024):
it clone https://github.com/divelab/AIRS
Apache-2
datasets
materials-discovery
GitHub (👨💻 2 · 🔀 120 · 📋 17 - 76% open · ⏱️ 02.12.2023):
it clone https://github.com/google-deepmind/materials_discovery
Apache-2
transformer
language-models
pre-trained
drug-discovery
GitHub (👨💻 5 · 🔀 37 · 📋 18 - 44% open · ⏱️ 16.10.2023):
it clone https://github.com/IBM/molformer
Custom
GitHub (👨💻 19 · 🔀 76 · ⏱️ 29.02.2024):
it clone https://github.com/tilde-lab/awesome-materials-informatics
MIT
datasets
GitHub (👨💻 8 · 🔀 2 · 📋 25 - 28% open · ⏱️ 06.07.2023):
it clone https://github.com/tilde-lab/optimade.science
Unlicensed
educational
rep-learn
GitHub (👨💻 11 · 🔀 55 · ⏱️ 14.02.2024):
it clone https://github.com/neurreps/awesome-neural-geometry
Unlicensed
datasets
GitHub (👨💻 2 · 🔀 37 · ⏱️ 03.11.2023):
it clone https://github.com/sedaoturak/data-resources-for-materials-science
MIT
MIT
for-fun
materials-discovery
Unlicensed
Unlicensed
Datasets, databases and trained models for atomistic ML.
🔗 Catalysis Hub - A web-platform for sharing data and software for computational catalysis research!.
🔗 Citrination Datasets - AI-Powered Materials Data Platform. Open Citrination has been decommissioned.
🔗 crystals.ai - Curated datasets for reproducible AI in materials science.
🔗 DeepChem Models - DeepChem models on HuggingFace. pre-trained
language-models
🔗 JARVIS-Leaderboard ( ⭐ 50) - Explore State-of-the-Art Materials Design Methods: https://arxiv.org/abs/2306.11688. benchmarking
🔗 Materials Project - Charge Densities - Materials Project has started offering charge density information available for download via their public API.
🔗 matterverse.ai - Database of yet-to-be-sythesized materials predicted using state-of-the-art machine learning algorithms.
🔗 NRELMatDB - Computational materials database with the specific focus on materials for renewable energy applications including, but..
🔗 Quantum-Machine.org Datasets - Collection of datasets, including QM7, QM9, etc. MD, DFT. Small organic molecules, mostly.
🔗 sGDML Datasets - MD17, MD22, DFT datasets.
🔗 MoleculeNet - A Benchmark for Molecular Machine Learning. benchmarking
🔗 ZINC15 - A free database of commercially-available compounds for virtual screening. ZINC contains over 230 million purchasable.. graph
biomolecules
🔗 ZINC20 - A free database of commercially-available compounds for virtual screening. ZINC contains over 230 million purchasable.. graph
biomolecules
MIT
MIT
CC-BY-4.0
GitHub (👨💻 36 · 🔀 200 · 📋 170 - 2% open · ⏱️ 25.04.2024):
it clone https://github.com/Open-Catalyst-Project/ocp
CC-BY-4.0
GitHub (👨💻 20 · 🔀 35 · 📋 230 - 26% open · ⏱️ 10.04.2024):
it clone https://github.com/Materials-Consortia/OPTIMADE
CC-BY-NC-SA 4.0
ML-DFT
GitHub (👨💻 26 · 🔀 52 · 📋 12 - 16% open · ⏱️ 28.03.2024):
it clone https://github.com/divelab/AIRS
MIT
ML-IAP
MD
GitHub (🔀 5 · 📥 240 · 📋 57 - 26% open · ⏱️ 15.04.2024):
it clone https://github.com/openmm/spice-dataset
Apache-2
GitHub (👨💻 7 · 🔀 1 · ⏱️ 05.02.2024):
it clone https://github.com/materials-data-facility/connect_client
Custom
superconductors
materials-discovery
GitHub (🔀 4 · ⏱️ 08.01.2024):
it clone https://github.com/aimat-lab/3DSC
MIT
GitHub (👨💻 2 · 🔀 3 · 📥 16 · ⏱️ 27.08.2023):
it clone https://github.com/drcassar/SciGlass
BSD-3
small-data
single-paper
GitHub (⏱️ 22.03.2024):
it clone https://github.com/mathsphy/paper-data-redundancy
MIT
biomolecules
benchmarking
LGPL-2.1
knowledge-base
pre-trained
Apache-2
material-defect
MIT
MIT
benchmarking
Unlicensed
drug-discovery
MIT
MIT
MIT
MIT
benchmarking
single-paper
Unlicensed
Unlicensed
ML-IAP
MD
transport-phenomena
Projects that focus on providing data structures used in atomistic machine learning.
LGPL-3.0
BSD-3
Rust
C-lang
C++
Python
GitHub (👨💻 19 · 🔀 12 · 📥 15K · 📦 7 · 📋 170 - 32% open · ⏱️ 01.05.2024):
it clone https://github.com/lab-cosmo/metatensor
Custom
ML-DFT
Apache-2
C++
GitHub (👨💻 23 · 🔀 130 · 📋 65 - 35% open · ⏱️ 26.03.2024):
it clone https://github.com/dmlc/dlpack
Projects and models that focus on quantities of DFT, such as density functional approximations (ML-DFA), the charge density, density of states, the Hamiltonian, etc.
Apache-2
GitHub (👨💻 780 · 🔀 7.6K · 📋 1.2K - 73% open · ⏱️ 30.04.2024):
it clone https://github.com/google-research/google-research
Apache-2
GitHub (👨💻 92 · 🔀 2.5K · 📋 310 - 55% open · ⏱️ 02.06.2023):
it clone https://github.com/deepmind/deepmind-research
BSD-3
GitHub (👨💻 41 · 🔀 23 · 📋 240 - 11% open · ⏱️ 25.04.2024):
it clone https://github.com/mala-project/mala
GPL-3.0
rep-learn
GitHub (👨💻 26 · 🔀 52 · 📋 12 - 16% open · ⏱️ 28.03.2024):
it clone https://github.com/divelab/AIRS
LGPL-3.0
Julia
GitHub (👨💻 8 · 🔀 32 · 📋 45 - 17% open · ⏱️ 29.12.2023):
it clone https://github.com/mzjb/DeepH-pack
LGPL-3.0
GitHub (👨💻 7 · 🔀 32 · 📋 16 - 18% open · ⏱️ 13.04.2024):
it clone https://github.com/deepmodeling/deepks-kit
GPL-3.0
GitHub (👨💻 17 · 🔀 4 · 📋 5 - 20% open · ⏱️ 05.04.2024):
it clone https://github.com/andreagrisafi/SALTED
Apache-2
GitHub (👨💻 4 · 🔀 4 · 📋 54 - 20% open · ⏱️ 13.02.2024):
it clone https://github.com/XanaduAI/GradDFT
MIT
GitHub (🔀 3 · ⏱️ 29.11.2023):
it clone https://github.com/ulissigroup/charge-density-models
BSD-3
MIT
Julia
GPL-3.0
ML-IAP
MD
single-paper
C++
MPL-2.0
C++
Fortran
MIT
magnetism
MIT
MIT
spectroscopy
MIT
LGPL-3.0
magnetism
Julia
GPL-3.0
density-of-states
transformer
MIT
single-paper
Unlicensed
BSD-3
Unlicensed
representation-learning
single-paper
BSD-3
Unlicensed
Tutorials, guides, cookbooks, recipes, etc.
🔗 Quantum Chemistry in the Age of Machine Learning - Book, 2022.
🔗 AL4MS 2023 workshop tutorials active-learning
MIT
rep-learn
GitHub (👨💻 3 · 🔀 38 · ⏱️ 18.06.2023):
it clone https://github.com/chaitjo/geometric-gnn-dojo
Custom
GitHub (👨💻 19 · 🔀 110 · 📋 160 - 17% open · ⏱️ 02.07.2023):
it clone https://github.com/whitead/dmol-book
CCO-1.0
GitHub (👨💻 13 · 🔀 24 · 📋 8 - 12% open · ⏱️ 14.04.2024):
it clone https://github.com/GDS-Education-Community-of-Practice/DSECOP
NIST
GitHub (👨💻 5 · 🔀 23 · ⏱️ 13.03.2024):
it clone https://github.com/JARVIS-Materials-Design/jarvis-tools-notebooks
Apache-2
GitHub (👨💻 6 · 🔀 5 · ⏱️ 19.02.2024):
it clone https://github.com/ceriottm/iam-notebooks
MIT
datasets
GitHub (👨💻 6 · 🔀 7 · ⏱️ 27.09.2023):
it clone https://github.com/Materials-Consortia/optimade-tutorial-exercises
MIT
GitHub (👨💻 3 · 🔀 67 · 📋 7 - 71% open · ⏱️ 17.11.2023):
it clone https://github.com/anthony-wang/BestPractices
BSD-3
GitHub (👨💻 9 · 🔀 1 · 📋 11 - 18% open · ⏱️ 24.04.2024):
it clone https://github.com/lab-cosmo/software-cookbook
MIT
ML-IAP
rep-learn
MD
GitHub (🔀 7 · ⏱️ 10.10.2023):
it clone https://github.com/ilyes319/mace-tutorials
MIT
Custom
MIT
Unlicensed
Unlicensed
Unlicensed
GPL-3.0
Unlicensed
Unlicensed
Unlicensed
Unlicensed
ML-IAP
MD
rep-eng
Unlicensed
GPL-3.0
Projects that focus on explainability and model interpretability in atomistic ML.
MIT
GitHub (👨💻 2 · 🔀 1 · ⏱️ 22.04.2024):
it clone https://github.com/aimat-lab/graph_attention_student
MIT
XAI
rep-learn
GitHub (👨💻 2 · 🔀 1 · ⏱️ 22.04.2024):
it clone https://github.com/aimat-lab/graph_attention_student
MIT
XAI
single-paper
rep-eng
Projects and models that focus on quantities of electronic structure methods, which do not fit into either of the categories ML-WFT or ML-DFT.
MIT
LGPL-3.0
Unlicensed
excited-states
General tools for atomistic machine learning.
MIT
GitHub (👨💻 240 · 🔀 1.6K · 📦 350 · 📋 1.7K - 26% open · ⏱️ 30.04.2024):
it clone https://github.com/deepchem/deepchem
PyPi (📥 27K / month):
ip install deepchem
Conda (📥 110K · ⏱️ 05.04.2024):
onda install -c conda-forge deepchem
Docker Hub (📥 7.2K · ⭐ 5 · ⏱️ 24.04.2024):
ocker pull deepchemio/deepchem
GPL-2.0
MD
ML-IAP
rep-eng
Fortran
GitHub (👨💻 81 · 🔀 120 · 📥 360 · 📦 33 · 📋 450 - 21% open · ⏱️ 04.04.2024):
it clone https://github.com/libAtoms/QUIP
PyPi (📥 2.3K / month):
ip install quippy-ase
Docker Hub (📥 9.9K · ⭐ 4 · ⏱️ 24.04.2023):
ocker pull libatomsquip/quip
Custom
BSD-3
MIT
GitHub (👨💻 19 · 🔀 56 · 📥 86 · 📦 42 · 📋 210 - 10% open · ⏱️ 17.04.2024):
it clone https://github.com/uw-cmg/MAST-ML
BSD-3
scikit-learn
GPL-3.0 license
rep-learn
generative
ML-IAP
MD
ML-DFT
ML-WFT
biomolecules
GitHub (👨💻 26 · 🔀 52 · 📋 12 - 16% open · ⏱️ 28.03.2024):
it clone https://github.com/divelab/AIRS
GPL-3.0
GitHub (👨💻 14 · 🔀 32 · 📋 32 - 18% open · ⏱️ 16.07.2023):
it clone https://github.com/ulissigroup/amptorch
BSD-3
ML-IAP
GitHub (👨💻 6 · 🔀 1 · 📋 23 - 82% open · ⏱️ 27.10.2023):
it clone https://github.com/lab-cosmo/equisolve
MIT
Custom
MIT
MIT
Unlicensed
benchmarking
probabilistic
MIT
Custom
Julia
Custom
MIT
Java
Unlicensed
magnetism
benchmarking
Projects that implement generative models for atomistic ML.
MIT
pre-trained
drug-discovery
rep-learn
MIT
MIT
GitHub (👨💻 3 · 🔀 8 · 📋 13 - 7% open · ⏱️ 07.11.2023):
it clone https://github.com/atomistic-machine-learning/schnetpack-gschnet
MIT
QML
single-paper
GitHub (🔀 3 · ⏱️ 11.07.2023):
it clone https://github.com/tsudalab/bVAE-IM
Apache-2
drug-discovery
pre-trained
rep-learn
GitHub (👨💻 5 · 🔀 5 · ⏱️ 23.03.2024):
it clone https://github.com/terraytherapeutics/COATI
MIT
MIT
MIT
MIT
MIT
MIT
XAI
Machine learning interatomic potentials (aka ML-IAP, MLIAP, MLIP, MLP) and force fields (ML-FF) for molecular dynamics.
LGPL-3.0
C++
GitHub (👨💻 68 · 🔀 460 · 📥 35K · 📦 13 · 📋 660 - 14% open · ⏱️ 06.04.2024):
it clone https://github.com/deepmodeling/deepmd-kit
PyPi (📥 2K / month):
ip install deepmd-kit
Conda (📥 1K · ⏱️ 06.04.2024):
onda install -c deepmodeling deepmd-kit
Docker Hub (📥 2.2K · ⭐ 1 · ⏱️ 04.03.2024):
ocker pull deepmodeling/deepmd-kit
LGPL-3.0
workflows
MIT
MD
rep-learn
transformer
pre-trained
Custom
MD
pre-trained
electrostatics
magnetism
structure-relaxation
MIT
pre-trained
GitHub (👨💻 36 · 🔀 200 · 📋 170 - 2% open · ⏱️ 25.04.2024):
it clone https://github.com/Open-Catalyst-Project/ocp
MIT
GitHub (👨💻 24 · 🔀 130 · 📋 160 - 20% open · ⏱️ 30.04.2024):
it clone https://github.com/ACEsuit/mace
GPL-3.0
MD
C++
electrostatics
GitHub (👨💻 27 · 🔀 110 · 📋 160 - 12% open · ⏱️ 01.05.2024):
it clone https://github.com/brucefan1983/GPUMD
MIT
BSD-3
LGPL-2.1
probabilistic
workflows
MIT
Apache-2
Unlicensed
workflows
HTC
GitHub (👨💻 16 · 🔀 15 · 📋 140 - 43% open · ⏱️ 25.04.2024):
it clone https://github.com/libAtoms/workflow
MIT
GitHub (👨💻 6 · 🔀 55 · 📋 37 - 43% open · ⏱️ 11.03.2024):
it clone https://github.com/isayev/ASE_ANI
LGPL-3.0
GitHub (👨💻 14 · 🔀 40 · 📋 25 - 36% open · ⏱️ 12.01.2024):
it clone https://github.com/deepmodeling/DMFF
BSD-3
GitHub (👨💻 4 · 🔀 30 · 📋 6 - 16% open · ⏱️ 26.01.2024):
it clone https://github.com/Teoroo-CMC/PiNN
Docker Hub (📥 230 · ⏱️ 26.01.2024):
ocker pull teoroo/pinn
Custom
MIT
rep-learn
transformer
GitHub (👨💻 7 · 🔀 4 · ⏱️ 21.04.2024):
it clone https://github.com/serfg/pet
MIT
Julia
GitHub (👨💻 7 · 🔀 5 · 📋 55 - 40% open · ⏱️ 28.03.2024):
it clone https://github.com/ACEsuit/ACEfit.jl
MIT
pre-trained
GitHub (👨💻 10 · 🔀 48 · ⏱️ 25.07.2023):
it clone https://github.com/learningmatter-mit/NeuralForceField
Custom
GitHub (👨💻 10 · 🔀 19 · 📋 19 - 15% open · ⏱️ 10.04.2024):
it clone https://github.com/TinkerTools/tinker-hp
MIT
GitHub (👨💻 4 · 🔀 11 · 📋 9 - 55% open · ⏱️ 16.01.2024):
it clone https://github.com/thorben-frank/mlff
MIT
GitHub (👨💻 2 · 🔀 41 · 📋 31 - 51% open · ⏱️ 08.05.2023):
it clone https://github.com/mir-group/allegro
Custom
GitHub (👨💻 2 · 🔀 58 · 📦 1 · 📋 31 - 3% open · ⏱️ 03.10.2023):
it clone https://github.com/gasteigerjo/dimenet
Custom
Julia
GitHub (👨💻 12 · 🔀 15 · 📋 82 - 29% open · ⏱️ 09.06.2023):
it clone https://github.com/ACEsuit/ACE.jl
Custom
GitHub (👨💻 13 · 🔀 20 · ⏱️ 20.03.2024):
it clone https://github.com/libAtoms/GAP
Custom
Julia
GitHub (👨💻 9 · 🔀 6 · 📋 46 - 47% open · ⏱️ 14.03.2024):
it clone https://github.com/ACEsuit/ACE1.jl
Custom
Fortran
GitHub (👨💻 8 · 🔀 8 · 📋 7 - 57% open · ⏱️ 14.12.2023):
it clone https://github.com/mcaroba/turbogap
MIT
GitHub (👨💻 7 · 🔀 15 · 📋 10 - 40% open · ⏱️ 01.02.2024):
it clone https://github.com/bigd4/PyNEP
Custom
active-learning
GitHub (👨💻 5 · 🔀 11 · ⏱️ 29.01.2024):
it clone https://github.com/lanl/alf
MIT
GitHub (👨💻 2 · 🔀 2 · 📋 4 - 50% open · ⏱️ 04.10.2023):
it clone https://github.com/ACEsuit/mace-jax
MIT
long-range
GitHub (👨💻 7 · 🔀 1 · ⏱️ 31.03.2024):
it clone https://github.com/RowleyGroup/MLXDM
MIT
Julia
GitHub (👨💻 11 · ⏱️ 21.08.2023):
it clone https://github.com/ACEsuit/ACE1pack.jl
BSD-3
GPL-3.0
C++
GPL-3.0
single-paper
GPL-3.0
MIT
MIT
Custom
MIT
single-paper
BSD-3
MIT
probabilistic
MIT
electrostatics
GPL-3.0
Custom
BSD-2
C++
Unlicensed
benchmarking
MIT
benchmarking
BSD-3
MIT
Unlicensed
Custom
Unlicensed
Julia
workflows
MIT
community-resource
viz
JavaScript
MIT
material-defect
Unlicensed
C++
GPL-3.0
Fortran
Unlicensed
Unlicensed
Julia
Projects that use (large) language models (LMs, LLMs) or natural language procesing (NLP) techniques for atomistic ML.
MIT
datasets
MIT
rep-learn
GitHub (👨💻 5 · 🔀 180 · 📋 24 - 29% open · ⏱️ 06.05.2023):
it clone https://github.com/materialsintelligence/mat2vec
Apache-2
transformer
pre-trained
drug-discovery
GitHub (👨💻 5 · 🔀 37 · 📋 18 - 44% open · ⏱️ 16.10.2023):
it clone https://github.com/IBM/molformer
MIT
drug-discovery
recommender
MIT
GitHub (👨💻 6 · 🔀 4 · ⏱️ 26.04.2024):
it clone https://github.com/vertaix/LLM-Prop
MIT
dataset
GitHub (👨💻 2 · 🔀 1 · ⏱️ 11.04.2024):
it clone https://github.com/maykcaldas/MAPI_LLM
MIT
GitHub (👨💻 2 · 🔀 2 · 📋 18 - 61% open · ⏱️ 14.10.2023):
it clone https://github.com/lamalab-org/chemlift
Unlicensed
GitHub (🔀 7 · ⏱️ 19.04.2024):
it clone https://github.com/CFN-softbio/SciBot
MIT
magnetism
GitHub (👨💻 2 · 🔀 3 · ⏱️ 18.08.2023):
it clone https://github.com/StefanoSanvitoGroup/BERT-PSIE-TC
MIT
literature-data
MIT
single-paper
MIT
literature-data
Unlicensed
transformer
catalysis
Projects that implement materials discovery methods using atomistic ML.
MIT
GitHub (👨💻 4 · 🔀 10 · 📋 26 - 15% open · ⏱️ 02.04.2024):
it clone https://github.com/CompRhys/aviary
Apache-2
rep-learn
datasets
GitHub (👨💻 2 · 🔀 120 · 📋 17 - 76% open · ⏱️ 02.12.2023):
it clone https://github.com/google-deepmind/materials_discovery
Unlicensed
probabilistic
GPL-3.0
structure-optimization
Apache-2
MIT
materials-discovery
active-learning
single-paper
GPL-3.0
C++
structure-prediction
Apache-2
materials-discovery
single-paper
Unlicensed
structure-prediction
Projects that implement mathematical objects used in atomistic machine learning.
MIT
probabilistic
active-learning
Apache-2
Apache-2
MIT
Julia
GitHub (👨💻 10 · 🔀 5 · 📋 44 - 34% open · ⏱️ 11.03.2024):
it clone https://github.com/ACEsuit/Polynomials4ML.jl
MIT
rep-learn
GitHub (👨💻 3 · 🔀 1 · ⏱️ 20.06.2023):
it clone https://github.com/lie-nn/lie-nn
MPL-2.0
C++
GitHub (👨💻 4 · 🔀 3 · 📋 5 - 40% open · ⏱️ 26.04.2024):
it clone https://github.com/risi-kondor/GElib
Unlicensed
C++
GitHub (👨💻 9 · 🔀 5 · ⏱️ 19.03.2024):
it clone https://github.com/lab-cosmo/toolbox
Unlicensed
C++
MIT
Julia
Unlicensed
Unlicensed
benchmarking
Projects that simplify the integration of molecular dynamics and atomistic machine learning.
GPL-2.0
Custom
ML-IAP
C++
MIT
enhanced-sampling
MIT
ML-IAP
MIT
ML-IAP
rep-learn
GitHub (👨💻 2 · 🔀 6 · 📋 21 - 19% open · ⏱️ 27.06.2023):
it clone https://github.com/mir-group/pair_allegro
Custom
GitHub (👨💻 6 · 🔀 10 · ⏱️ 27.11.2023):
it clone https://github.com/ICAMS/lammps-user-pace
AGPL-3.0
ML-IAP
active-learning
GitHub (🔀 2 · ⏱️ 29.04.2024):
it clone https://github.com/initqp/somd
MIT
ML-IAP
rep-learn
GPL-2.0
Projects that focus on reinforcement learning for atomistic ML.
MIT
drug-discovery
GPL
Projects that offer implementations of representations aka descriptors, fingerprints of atomistic systems, and models built with them, aka feature engineering.
LGPL-2.1
cheminformatics
Java
Apache-2
MIT
pre-trained
small-data
transfer-learning
GitHub (👨💻 8 · 🔀 31 · 📦 5 · 📋 41 - 36% open · ⏱️ 05.04.2024):
it clone https://github.com/ppdebreuck/modnet
LGPL-2.1
GitHub (👨💻 29 · 🔀 19 · 📋 230 - 43% open · ⏱️ 30.11.2023):
it clone https://github.com/lab-cosmo/librascal
Apache-2
Fortran
GitHub (👨💻 3 · 🔀 72 · 📋 59 - 3% open · ⏱️ 12.09.2023):
it clone https://github.com/rouyang2017/SISSO
BSD-3
Rust
C++
GitHub (👨💻 14 · 🔀 12 · 📋 62 - 51% open · ⏱️ 23.04.2024):
it clone https://github.com/Luthaf/rascaline
MIT
GitHub (👨💻 4 · 🔀 3 · 📋 3 - 66% open · ⏱️ 15.04.2024):
it clone https://github.com/lab-cosmo/nice
GPL-3.0
surface-science
MIT
benchmarking
Unlicensed
MIT
Apache-2
electrostatics
GPL-3.0
generative
LGPL-3.0
C-lang
MIT
C-lang
single-paper
GPL-2.0
C++
Custom
Fortran
Apache-2
C++
Apache-2
magnetism
single-paper
MIT
single-paper
magnetism
Unlicensed
General models that learn a representations aka embeddings of atomistic systems, such as message-passing neural networks (MPNN).
Apache-2
MIT
general-ml
GitHub (👨💻 490 · 🔀 3.4K · 📋 3.4K - 23% open · ⏱️ 30.04.2024):
it clone https://github.com/pyg-team/pytorch_geometric
MIT
Custom
educational
drug-discovery
GitHub (👨💻 120 · 🔀 2.9K · 📋 800 - 30% open · ⏱️ 04.04.2024):
it clone https://github.com/NVIDIA/DeepLearningExamples
GPL-3.0
BSD-3
MIT
GitHub (👨💻 36 · 🔀 200 · 📋 170 - 2% open · ⏱️ 25.04.2024):
it clone https://github.com/Open-Catalyst-Project/ocp
MIT
workflows
benchmarking
GitHub (👨💻 11 · 🔀 15 · 📋 43 - 27% open · ⏱️ 27.04.2024):
it clone https://github.com/IntelLabs/matsciml
MIT
pre-trained
GitHub (👨💻 14 · 🔀 100 · 📥 12K · 📋 130 - 39% open · ⏱️ 26.04.2024):
it clone https://github.com/dptech-corp/Uni-Mol
Custom
Custom
workflows
GitHub (👨💻 12 · 🔀 21 · 📋 12 - 33% open · ⏱️ 30.04.2024):
it clone https://github.com/lanl/hippynn
MIT
MIT
transformer
GitHub (👨💻 2 · 🔀 33 · 📋 12 - 41% open · ⏱️ 21.06.2023):
it clone https://github.com/atomicarchitects/equiformer
MIT
GitHub (👨💻 2 · 🔀 9 · 📦 10 · 📋 3 - 66% open · ⏱️ 12.12.2023):
it clone https://github.com/llnl/graphite
MIT
GitHub (👨💻 3 · 🔀 7 · ⏱️ 19.01.2024):
it clone https://github.com/usccolumbia/deeperGATGNN
MIT
optical-properties
single-paper
probabilistic
GitHub (🔀 6 · ⏱️ 26.05.2023):
it clone https://github.com/learningmatter-mit/uvvisml
MIT
surface-science
single-paper
GitHub (👨💻 5 · 🔀 4 · 📋 3 - 66% open · ⏱️ 31.07.2023):
it clone https://github.com/Open-Catalyst-Project/AdsorbML
Custom
MIT
XRD
single-paper
GitHub (📥 2 · ⏱️ 14.07.2023):
it clone https://github.com/aimat-lab/ML4pXRDs
MIT
GitHub (👨💻 2 · 🔀 20 · ⏱️ 01.05.2024):
it clone https://github.com/atomicarchitects/equiformer_v2
MIT
GitHub (👨💻 2 · 🔀 5 · ⏱️ 06.06.2023):
it clone https://github.com/ACEsuit/mace-layer
Apache-2
MIT
single-paper
benchmarking
MIT
Custom
MIT
generative
MIT
single-paper
transformer
Apache-2
MIT
Apache-2
pre-trained
material-defect
MIT
MIT
MIT
magnetism
MIT
Custom
MIT
MIT
electrostatics
MIT
single-paper
MIT
MIT
MIT
C++
electrostatics
single-paper
MIT
transport-phenomena
MIT
pre-trained
single-paper
MIT
probabilistic
pre-trained
single-paper
Custom
transport-phenomena
Unlicensed
Unlicensed
surface-science
single-paper
GPL-3.0
single-paper
MIT
transport-phenomena
CC-BY-4.0
Unlicensed
Projects that focus on unsupervised learning (USL) for atomistic ML, such as dimensionality reduction, clustering and visualization.
MIT
GitHub (👨💻 6 · 🔀 27 · 📦 5 · 📋 24 - 25% open · ⏱️ 30.08.2023):
it clone https://github.com/BingqingCheng/ASAP
GPL-3.0
C++
GitHub (👨💻 8 · 🔀 10 · 📋 8 - 37% open · ⏱️ 24.05.2023):
it clone https://github.com/lab-cosmo/sketchmap
BSD-3
datasets
single-paper
Unlicensed
single-paper
Unlicensed
Unlicensed
Projects that focus on visualization (viz.) for atomistic ML.
MIT
general-tool
probabilistic
BSD-3
JavaScript
Projects and models that focus on quantities of wavefunction theory methods, such as Monte Carlo techniques like deep learning variational Monte Carlo (DL-VMC), quantum chemistry methods, etc.
Apache-2
transformer
GitHub (👨💻 18 · 🔀 110 · ⏱️ 15.04.2024):
it clone https://github.com/deepmind/ferminet
Custom
MIT
pre-trained
GitHub (👨💻 2 · 🔀 160 · 📋 61 - 52% open · ⏱️ 29.07.2023):
it clone https://github.com/snap-stanford/pretrain-gnns
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