Alternatives and similar repositories for lapjax

Users that are interested in lapjax are comparing it to the libraries listed below

• bytedance / LapNet
  Efficient and Accurate Neural-Network Ansatz for Quantum Monte Carlo
  ☆72Updated last year
• bytedance / jaqmc
  JAX accelerated Quantum Monte Carlo
  ☆89Updated 5 months ago
• 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…
  ☆65Updated 9 months ago
• sail-sg / d4ft
  A JAX library for Density Functional Theory.
  ☆54Updated 2 months ago
• MLDS-NUS / DeepLearningCustomThermodynamics
  Code for reviewers
  ☆12Updated last year
• wangleiphy / ml4p
  Machine learning for physicists
  ☆137Updated 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…
  ☆32Updated last year
• sail-sg / stde
  Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024
  ☆128Updated last year
• sail-sg / jax_xc
  Exchange correlation functionals translated from libxc to jax
  ☆49Updated 10 months ago
• microsoft / folx
  Implementation of Forward Laplacian algorithm in JAX
  ☆93Updated 2 months ago
• y1xiaoc / fwdlap
  Forward mode laplacian implemented in JAX tracer
  ☆30Updated 3 weeks ago
• tomdbar / naqs-for-quantum-chemistry
  Supporting code for "Autoregressive neural-network wavefunctions for ab initio quantum chemistry".
  ☆43Updated 3 years ago
• sail-sg / autofd
  Automatic Functional Differentiation in JAX
  ☆81Updated 4 months ago
• YijiawWang / TNMP
  ☆24Updated 6 months ago
• deepmodeling / CrystalFormer
  Space Group Informed Transformer for Crystalline Materials Generation
  ☆131Updated 6 months ago
• bytedance / DeepSolid
  A library combining solid quantum Monte Carlo and neural network.
  ☆48Updated last year
• Machine-learning-and-complex-systems / NNCME
  ☆40Updated last month
• wdphy16 / stat-mech-van
  Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.
  ☆99Updated 8 months ago
• Machine-learning-and-complex-systems / DPT
  ☆16Updated last year
• smsharma / eqnn-jax
  Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.
  ☆40Updated 10 months ago
• e3nn / e3nn-jax
  jax library for E3 Equivariant Neural Networks
  ☆223Updated 5 months ago
• jeffminlin / vmcnet
  Flexible, general-purpose VMC framework, built on JAX.
  ☆29Updated 2 months ago
• google-deepmind / flows_for_atomic_solids
  ☆53Updated 3 years ago
• hongyehu / RG-Flow
  This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". …
  ☆88Updated 3 years ago
• fishjojo / pyscfad
  PySCF with auto-differentiation
  ☆93Updated this week
• mala-project / mala
  Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.
  ☆97Updated 3 weeks ago
• ml-jku / UPT
  Code for the paper Universal Physics Transformers
  ☆149Updated 6 months ago
• qiauil / torchfsm
  TorchFSM: Fourier Spectral Method with PyTorch
  ☆53Updated last week
• ion-g-ion / torchTT
  Tensor-Train decomposition in pytorch
  ☆84Updated 2 weeks ago
• deepqmc / deepqmc
  Deep learning quantum Monte Carlo for electrons in real space
  ☆410Updated 6 months ago