Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
☆225Aug 3, 2025Updated 9 months ago
Alternatives and similar repositories for torchquad
Users that are interested in torchquad are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Abstract your array operations.☆170May 15, 2026Updated last week
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆20Jul 25, 2024Updated last year
- A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiolo…☆17Dec 28, 2023Updated 2 years ago
- The tiniest of Gaussian Process libraries☆346May 9, 2026Updated 2 weeks ago
- ☆24Oct 21, 2024Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,012May 13, 2026Updated last week
- ☆11Oct 16, 2023Updated 2 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,570May 2, 2024Updated 2 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,077Updated this week
- A validated modern C++ implementation of the NASA Standard Breakup Model☆31Nov 6, 2023Updated 2 years ago
- Pages defining the website of the Scikit-HEP project.☆12Updated this week
- Learning Dynamical Systems that Generalize Across Environments☆20Feb 10, 2022Updated 4 years ago
- VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms☆37Apr 15, 2025Updated last year
- Jax wrapper for autograd-differentiable functions☆13Oct 20, 2025Updated 7 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Conjunction Analysis and Screening with Python☆12Jun 22, 2023Updated 2 years ago
- JAX + Units☆53Mar 2, 2026Updated 2 months ago
- Python package that numerically calculates the structure of probability distributions on statistical manifolds.☆17Feb 24, 2025Updated last year
- Python tools for solving data-constrained finite element problems☆13Nov 9, 2021Updated 4 years ago
- PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…☆26Dec 21, 2023Updated 2 years ago
- Gradient-informed particle MCMC methods☆12Jan 29, 2024Updated 2 years ago
- ☆11Sep 2, 2024Updated last year
- Fast, lightweight and parallelised simulation-based inference in JAX.☆23Oct 28, 2025Updated 6 months ago
- Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics☆13Feb 23, 2026Updated 3 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Python interface to the QDLDL (https://github.com/osqp/qdldl) free LDL factorization routine for quasi-definite linear systems☆18Apr 6, 2026Updated last month
- Iterated Amplitude Adjusted Fast Fourier Transform time series surrogates☆18Jun 22, 2021Updated 4 years ago
- PDFflow is parton distribution function interpolation library written in Python and based on the TensorFlow framework.☆11Jan 23, 2024Updated 2 years ago
- Free-form flows are a generative model training a pair of neural networks via maximum likelihood☆51Jun 26, 2025Updated 10 months ago
- The MaNGA Data Analysis Pipeline☆21Jul 2, 2025Updated 10 months ago
- Wraps PyTorch code in a JIT-compatible way for JAX. Supports automatically defining gradients for reverse-mode AutoDiff.☆58Apr 13, 2026Updated last month
- A Latex Template for a Science Textbook☆10Apr 7, 2020Updated 6 years ago
- ☆228Feb 21, 2026Updated 3 months ago
- Rejection-minimal, non-reversible, and continuous-time samplers☆12Nov 14, 2025Updated 6 months ago
- 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.
- Physics-Informed Neural networks for Advanced modeling☆752Updated this week
- PEP 503 repository index for jax[cuda]☆21Jan 14, 2025Updated last year
- Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.☆68Mar 11, 2024Updated 2 years ago
- Normalizing flows in PyTorch☆459Mar 10, 2026Updated 2 months ago
- Numerical quadrature with JAX☆82May 18, 2026Updated last week
- [ICML2022] Variational Wasserstein gradient flow☆25Oct 17, 2022Updated 3 years ago
- A JAX-based gaussian process structure learning package for time series modelling.☆37Apr 28, 2026Updated 3 weeks ago