Alternatives and similar repositories for Ising-Deep-Learning

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

• samuelkim314 / DeepBO
  Deep Bayesian Optimization for Problems with High-Dimensional Structure
  ☆16Updated 3 years ago
• saimani5 / VAE-tutorials
  ☆41Updated 2 years ago
• n-gao / pesnet
  Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…
  ☆31Updated last year
• mdsunivie / deeperwin
  DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electr…
  ☆63Updated 7 months ago
• dngfra / Restricted-Boltzmann-Machines
  Implementation of restricted Boltzmann machines in Tensorflow 2
  ☆28Updated 2 years ago
• williamratcliff / GNN-tutorial-APS-March-2023
  These are the slides associated with the GNN tutorial at the APS March Meeting
  ☆21Updated 2 years ago
• Machine-learning-and-complex-systems / DPT
  ☆16Updated last year
• sail-sg / d4ft
  A JAX library for Density Functional Theory.
  ☆54Updated this week
• wdphy16 / stat-mech-van
  Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
  ☆98Updated 6 months ago
• YuGuangWang / PAN
  Path integral based convolution and pooling
  ☆30Updated 2 years ago
• bytedance / LapNet
  Efficient and Accurate Neural-Network Ansatz for Quantum Monte Carlo
  ☆72Updated 11 months ago
• dimitra-maoutsa / odes_for_sdes
  Deterministic particle dynamics for simulating Fokker-Planck probability flows
  ☆26Updated 2 years ago
• SergeiVKalinin / UTK-Spring-2023---Automated-Experiment
  Spring 2023 seminar on automated experiment
  ☆23Updated 2 years ago
• wangleiphy / ml4p
  Machine learning for physicists
  ☆136Updated 2 years ago
• gabeguo / cdvae_xrd
  Deep PXRD Crystallography with CDVAE.
  ☆22Updated 5 months ago
• blondegeek / e3nn_symm_breaking
  Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"
  ☆16Updated 4 years ago
• Shmoo137 / SummerSchool2021_MLinQuantum
  The repository contains Jupyter notebooks for hands-on tutorials organized within the Summer School: Machine Learning for Quantum Physics…
  ☆43Updated 5 months ago
• eth-nn-physics / nn_physical_concepts
  ☆175Updated 2 years ago
• AI4QC / AI_for_Science_paper_collection
  List the AI for Science papers accepted by top conferences
  ☆146Updated 2 months ago
• rajak7 / Bayesian_Optimization_Material_design
  Accelerated Design of Layered Materials with Bayesian Optimization
  ☆20Updated 6 years ago
• deepmodeling / AI4Science101
  AI for Science
  ☆98Updated last year
• iaifi / summer-school-2024
  ☆23Updated last year
• li012589 / neuralCT
  Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows
  ☆31Updated 5 years ago
• Emergent-Behaviors-in-Biology / mlreview_notebooks
  Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."
  ☆71Updated 6 years ago
• helgestein / materials-images-spectra
  This repository contains code for handling the materials images and spectra dataset that is the largest expermental materials science dat…
  ☆15Updated last year
• SCAN-NRAD / e3nn_Unet
  ☆31Updated last year
• omron-sinicx / transformer4sr
  [NeurIPS 2023 AI4Science] "A Transformer Model for Symbolic Regression towards Scientific Discovery"
  ☆18Updated last year
• ziatdinovmax / AugmentedGaussianProcess
  Gaussian process augmented with a probabilistic model of expected system's behavior
  ☆15Updated 3 years ago
• tomdbar / naqs-for-quantum-chemistry
  Supporting code for "Autoregressive neural-network wavefunctions for ab initio quantum chemistry".
  ☆42Updated 3 years ago
• YWolfeee / lapjax
  A JAX based package designed for efficient second order operators (e.g., laplacian) computation.
  ☆74Updated last year