Alternatives and similar repositories for sparse-lm

Users that are interested in sparse-lm are comparing it to the libraries listed below

• PV-Lab / ZoMBI
  Zooming Memory Based Initialization (ZoMBI) algorithm for discovery of optima within challenging needle-in-a-haystack (extreme data imbal…
  ☆19Updated last year
• learningmatter-mit / Atomistic-Adversarial-Attacks
  Code for performing adversarial attacks on atomistic systems using NN potentials
  ☆40Updated 3 years ago
• BlauGroup / HiPRGen
  ☆27Updated last year
• dftd4 / tad-dftd4
  PyTorch Autodiff DFT-D4 Implementation.
  ☆23Updated this week
• blokhin / materials-informatics-tutorial
  A quick tutorial for modern materials science, should the reader be not familiar with it and just wishing to crack the data
  ☆16Updated 4 months ago
• a-ws-m / unlockNN
  A Python package for adding uncertainties to neural network models of chemical systems.
  ☆26Updated 3 years ago
• WardLT / applied-ai-for-materials
  Course materials for "Applied AI for Materials Science and Engineering"
  ☆70Updated 3 years ago
• materials-data-facility / awesome-bayesian-optimization
  ☆44Updated last year
• theochem / denspart
  Atoms-in-molecules density partitioning schemes based on stockholder recipe
  ☆22Updated last week
• metatensor / metatensor
  Self-describing sparse tensor data format for atomistic machine learning and beyond
  ☆90Updated last week
• materialsproject / pyrho
  ☆42Updated last week
• apax-hub / apax
  A flexible and performant framework for training machine learning potentials.
  ☆32Updated last week
• lantunes / skipatom
  Distributed representations of atoms, inspired by the Skip-gram model
  ☆26Updated 2 years ago
• openkim / kliff
  KIM-based Learning-Integrated Fitting Framework for interatomic potentials.
  ☆40Updated last week
• usccolumbia / materialsUQ
  Uncertainty Quantification for Materials Property Prediction: a Benchmark Study
  ☆17Updated last year
• neo-chem / awesome-chemical-data
  Curated list of known efforts in collecting and/or curating of chemical/materials data
  ☆23Updated 5 years ago
• THGLab / NewtonNet
  A Newtonian message passing network for deep learning of interatomic potentials and forces
  ☆45Updated 7 months ago
• lcmd-epfl / volcanic
  A program to automatically generate volcano plots for catalysis.
  ☆15Updated last year
• aspuru-guzik-group / atlas
  A brain for self-driving laboratories
  ☆45Updated 8 months ago
• PinwenGuan / JAX-TherMo
  A demo code for implementation of differentiable thermodynamic modeling in JAX.
  ☆10Updated 4 years ago
• Cascella-Group-UiO / HyMD
  Massively parallel hybrid particle-field molecular dynamics in Python.
  ☆29Updated last year
• THGLab / MLHessian-TSopt
  ☆18Updated last year
• metatensor / featomic
  Computing representations for atomistic machine learning
  ☆74Updated 2 weeks ago
• zincware / IPSuite
  Machine Learned Interatomic Potential Tools
  ☆24Updated last week
• sirmarcel / cmlkit
  tools for machine learning in condensed matter physics and quantum chemistry
  ☆33Updated 3 years ago
• simongravelle / GOMC-inputs
  Input script for Monte Carlo (GCMC) simulations
  ☆20Updated last year
• whitead / symd
  N-Dimensional MD engine with symmetry group constraints written in C
  ☆49Updated last year
• BingqingCheng / Mapping-the-space-of-materials-and-molecules
  ☆12Updated 5 years ago
• blondegeek / e3nn_symm_breaking
  Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"
  ☆16Updated 5 years ago
• mir-group / CiderPress
  A high-performance software package for training and evaluating machine-learned XC functionals using the CIDER framework
  ☆18Updated last month