Implementation of Forward Laplacian algorithm in JAX
☆99May 29, 2026Updated last week
Alternatives and similar repositories for folx
Users that are interested in folx are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Forward mode laplacian implemented in JAX tracer☆30Jan 7, 2026Updated 5 months ago
- Tidy autoregressive inference in JAX☆15Sep 1, 2025Updated 9 months ago
- Flexible, general-purpose VMC framework, built on JAX.☆32Jun 2, 2026Updated last week
- Deep learning quantum Monte Carlo for electrons in real space☆414May 4, 2026Updated last month
- A JAX based package designed for efficient second order operators (e.g., laplacian) computation.☆75Mar 15, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Multiple dispatch over abstract array types in JAX.☆142Updated this week
- Second Order Optimization and Curvature Estimation with K-FAC in JAX.☆324Updated this week
- Orthogonal polynomials with JAX☆28May 18, 2026Updated 3 weeks ago
- Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…☆32Jun 14, 2024Updated last year
- Pretrained model for molecular wavefunctions☆58Apr 21, 2026Updated last month
- A dead simple Python package for creating custom JAX pytree objects☆66Nov 14, 2024Updated last year
- DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electr…☆67Apr 18, 2025Updated last year
- ☆302Jun 2, 2026Updated last week
- jax library for E3 Equivariant Neural Networks☆231Apr 1, 2026Updated 2 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Matrix-free linear algebra in JAX.☆171Updated this week
- A collection of lectures and tutorials☆25Updated this week
- Efficient and Accurate Neural-Network Ansatz for Quantum Monte Carlo☆73Dec 4, 2024Updated last year
- Turn jitted jax functions back into python source code☆23Dec 16, 2024Updated last year
- JAX Arrays for human consumption☆111Oct 23, 2025Updated 7 months ago
- Fast low-rank updates (LRU) of matrix determinants and pfaffians in JAX☆22Feb 6, 2026Updated 4 months ago
- Stencil computations in JAX☆72Nov 15, 2025Updated 6 months ago
- ☆15Jul 17, 2023Updated 2 years ago
- JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library☆134Updated this week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Turn SymPy expressions into trainable JAX expressions.☆369Apr 20, 2026Updated last month
- Calculate observables from neural network-based VMC (NN-VMC).☆19Apr 16, 2025Updated last year
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆585May 13, 2026Updated 3 weeks ago
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆317Updated this week
- Coordinates in JAX☆33May 20, 2026Updated 3 weeks ago
- Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax☆552Updated this week
- JAX reimplementation and bindings for the NVIDIA cuDecomp library☆56May 17, 2026Updated 3 weeks ago
- Use numba-compiled kernels from within Jax☆32May 1, 2025Updated last year
- A Universal Neural Network Solver for The Schrödinger Equation☆11Dec 3, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆80Sep 4, 2021Updated 4 years ago
- Minimal JAX implementation of k-nearest neighbors using a k-d tree.☆57May 19, 2026Updated 3 weeks ago
- S2FFT: Differentiable and accelerated spherical transforms☆226Updated this week
- An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations☆843May 21, 2026Updated 2 weeks ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆134May 7, 2026Updated last month
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Feb 8, 2025Updated last year
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆529May 20, 2026Updated 3 weeks ago