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📈 Trending Up

Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity.

  • SchNetPack (🥇28 · ⭐ 790 · 📈) - SchNetPack - Deep Neural Networks for Atomistic Systems. MIT
  • ZnDraw (🥈21 · ⭐ 31 · 📈) - A powerful tool for visualizing, modifying, and analysing atomistic systems. EPL-2.0 MD generative JavaScript
  • Chemiscope (🥉19 · ⭐ 130 · 📈) - An interactive structure/property explorer for materials and molecules. BSD-3 JavaScript
  • BOSS (🥇15 · ⭐ 21 · 📈) - Bayesian Optimization Structure Search (BOSS). Apache-2 probabilistic
  • Allegro (🥉10 · ⭐ 350 · 📈) - Allegro is an open-source code for building highly scalable and accurate equivariant deep learning interatomic.. MIT

📉 Trending Down

Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity.

  • apax (🥈19 · ⭐ 18 · 📉) - A flexible and performant framework for training machine learning potentials. MIT
  • FermiNet (🥈13 · ⭐ 740 · 📉) - An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations. Apache-2 transformer
  • So3krates (MLFF) (🥈13 · ⭐ 91 · 📉) - Build neural networks for machine learning force fields with JAX. MIT
  • NNsforMD (🥉10 · ⭐ 10 · 💀) - Neural network class for molecular dynamics to predict potential energy, forces and non-adiabatic couplings. MIT