Code for the paper "Learning Differential Equations that are Easy to Solve"
☆290Nov 25, 2021Updated 4 years ago
Alternatives and similar repositories for easy-neural-ode
Users that are interested in easy-neural-ode are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆92Oct 19, 2022Updated 3 years ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,539Sep 13, 2024Updated last year
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,573May 2, 2024Updated 2 years ago
- Normalizing Flows using JAX☆87Nov 30, 2023Updated 2 years ago
- Regularized Neural ODEs (RNODE)☆81Jul 16, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Pytorch implementation of Augmented Neural ODEs☆557Feb 9, 2023Updated 3 years ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,073Jun 21, 2026Updated last month
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Feb 11, 2022Updated 4 years ago
- A Julia code for performing variational Monte Carlo (VMC) simulations of determinantal wave functions☆15Nov 16, 2017Updated 8 years ago
- Documentation:☆131May 22, 2023Updated 3 years ago
- ☆80Sep 4, 2021Updated 4 years ago
- Batched routines (BLAS, LAPACK, etc.) for multi-dimensional arrays☆12Apr 10, 2022Updated 4 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,466Apr 4, 2025Updated last year
- Code for "Latent ODEs for Irregularly-Sampled Time Series" paper☆596Dec 3, 2020Updated 5 years ago
- 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.
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,727Dec 30, 2024Updated last year
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆129Jul 6, 2023Updated 3 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Mar 13, 2021Updated 5 years ago
- A dead simple Python package for creating custom JAX pytree objects☆66Nov 14, 2024Updated last year
- Mathematical operations for JAX pytrees☆210Dec 5, 2024Updated last year
- Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations☆805Feb 27, 2024Updated 2 years ago
- Refining continuous-in-depth neural networks☆41Nov 14, 2021Updated 4 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆668Sep 22, 2020Updated 5 years ago
- Autoregressive model for solving statistical mechanics problems☆11Mar 19, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Manifold-learning flows (ℳ-flows)☆236Nov 13, 2020Updated 5 years ago
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆714Oct 22, 2022Updated 3 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,386Mar 1, 2024Updated 2 years ago
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆34Oct 23, 2022Updated 3 years ago
- Differential Programming and Natural Evolutationary Strategies optimization algorithms for transport Majorana Zero Modes.☆14Nov 27, 2020Updated 5 years ago
- ☆644Jul 8, 2026Updated 2 weeks ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,051Jun 4, 2026Updated last month
- ☆774Jan 27, 2024Updated 2 years ago
- Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python☆537Jul 17, 2026Updated last week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Exponential families for JAX☆77Updated this week
- ☆31May 4, 2020Updated 6 years ago
- A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-body systems.☆38Oct 30, 2020Updated 5 years ago
- Optax is a gradient processing and optimization library for JAX.☆2,304Updated this week
- JAX Arrays for human consumption☆112Oct 23, 2025Updated 9 months ago
- Discrete Normalizing Flows implemented in PyTorch☆116Oct 4, 2021Updated 4 years ago
- Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/☆2,929Jun 29, 2026Updated 3 weeks ago