YWolfeee / lapjaxLinks
A JAX based package designed for efficient second order operators (e.g., laplacian) computation.
☆75Updated last year
Alternatives and similar repositories for lapjax
Users that are interested in lapjax are comparing it to the libraries listed below
Sorting:
- Efficient and Accurate Neural-Network Ansatz for Quantum Monte Carlo☆72Updated last year
- JAX accelerated Quantum Monte Carlo☆89Updated 6 months ago
- 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
- A JAX library for Density Functional Theory.☆54Updated 2 months ago
- Code for reviewers☆12Updated last year
- Exchange correlation functionals translated from libxc to jax☆52Updated 10 months ago
- Machine learning for physicists☆138Updated 2 years ago
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024☆128Updated last year
- Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…☆32Updated last year
- Implementation of Forward Laplacian algorithm in JAX☆94Updated 2 months ago
- Automatic Functional Differentiation in JAX☆81Updated 4 months ago
- jax library for E3 Equivariant Neural Networks☆224Updated 5 months ago
- Supporting code for "Autoregressive neural-network wavefunctions for ab initio quantum chemistry".☆43Updated 3 years ago
- Spectral Neural Operator☆79Updated 2 years ago
- Code for the paper Universal Physics Transformers☆149Updated 7 months ago
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆40Updated 11 months ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆57Updated 2 years ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆68Updated last year
- ☆287Updated last year
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆48Updated 2 years ago
- Forward mode laplacian implemented in JAX tracer☆30Updated last month
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated last year
- Discovering Conservation Laws using Optimal Transport and Manifold Learning☆22Updated 2 years ago
- Monte Carlo simulation on 2D XY-model☆25Updated 6 years ago
- Space Group Informed Transformer for Crystalline Materials Generation☆132Updated 6 months ago
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆186Updated last year
- Here you find the Spectral Operator Learning Under construcTION☆20Updated last year
- ☆90Updated last year
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆66Updated 5 months ago
- This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". …☆89Updated 3 years ago