Alternatives and similar repositories for RCDS-Deep-Learning-CNN:

Users that are interested in RCDS-Deep-Learning-CNN are comparing it to the libraries listed below

• ImperialCollegeLondon / RCDS-machine-learning-with-python
  Getting started with scikit-learn for machine learning
  ☆29Updated 4 months ago
• materials-data-facility / awesome-bayesian-optimization
  ☆40Updated last year
• mathsphy / paper-data-redundancy
  Repo for the paper "Exploiting redundancy in large materials datasets for efficient machine learning with less data"
  ☆11Updated 7 months ago
• SergeiVKalinin / MSE_Fall2024
  ☆59Updated 5 months ago
• SergeiVKalinin / AutomatedExperiment_Summer2023
  The summer training course on the Bayesian Optimization
  ☆27Updated last year
• Ramprasad-Group / polyVERSE
  polyVERSE is a comprehensive repository of informatics-ready datasets curated by the Ramprasad Group.
  ☆17Updated this week
• EmilSkaaning / DeepStruc
  DeepStruc is a Conditional Variational Autoencoder which can predict the mono-metallic nanoparticle from a Pair Distribution Function.
  ☆25Updated last year
• williamratcliff / GNN-tutorial-APS-March-2023
  These are the slides associated with the GNN tutorial at the APS March Meeting
  ☆21Updated 2 years ago
• sgbaird / honegumi
  Honegumi (骨組み) is an interactive "skeleton code" generator for API tutorials focusing on optimization packages.
  ☆49Updated last month
• zavalab / Tutorials
  ☆26Updated 3 months ago
• jenna-fromer / qPO
  ☆12Updated 3 months ago
• PKUsamPHTeam / ASPH-Code
  data and code to reduplicate paper: Topological representations of crystalline compounds for the machine-learning prediction of materials…
  ☆19Updated 4 years ago
• aryandeshwal / BO_of_COFs
  Python code for the paper Bayesian Optimization of Nanoporous Materials.
  ☆21Updated 2 years ago
• tiwarylab / TERP
  Thermodynamically Explainable Representations of AI and other black-box Paradigms
  ☆33Updated 5 months ago
• GOMC-WSU / py-MCMD
  This python code creates hybrid MD/MC (NAMD/GOMC) simulations for the NVT, NPT, GCMC, and GEMC-NVT ensembles
  ☆37Updated last week
• schwallergroup / chaos
  ☆18Updated 8 months ago
• SimonEnsemble / multi-fidelity-BO-of-COFs-for-Xe-Kr-seps
  ☆11Updated last year
• mir-group / nequip-input-files
  Input files for Batzner, S., Musaelian, A., Sun, L., Geiger, M., Mailoa, J. P., Kornbluth, M., ... & Kozinsky, B. (2021). E(3)-equivarian…
  ☆13Updated 3 years ago
• ML-Materials-Standards / ml-materials-checklist
  ☆32Updated 6 months ago
• scifm / summer-school-2024
  ☆37Updated 9 months ago
• egtai / MD_LJP
  An elementary MD simulation program written in python
  ☆24Updated 3 years ago
• PV-Lab / Benchmarking
  Benchmarking
  ☆28Updated 3 years ago
• zavalab / ML
  ☆85Updated 2 months ago
• sp8rks / MSE2001python
  Files for the MSE2001 course Introduction to Python for Materials Engineers
  ☆52Updated 8 months ago
• Ramprasad-Group / multi-task-learning
  ☆17Updated 7 months ago
• parkjunkil / MOFFUSION
  Multi-modal conditioning diffusion model for MOFs generation
  ☆27Updated 2 months ago
• learningmatter-mit / Atomistic-Adversarial-Attacks
  Code for performing adversarial attacks on atomistic systems using NN potentials
  ☆36Updated 2 years ago
• coleygroup / polymer-chemprop
  Message Passing Neural Networks for Molecule Property Prediction
  ☆39Updated 2 years ago
• txie-93 / gdynet
  Unsupervised learning of atomic scale dynamics from molecular dynamics.
  ☆81Updated 3 years ago
• SimonEnsemble / porous-material-AI-gym
  open data sets for machine learning pertaining to porous materials
  ☆27Updated last year