Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
☆173Feb 11, 2022Updated 4 years ago
Alternatives and similar repositories for bayeSDE
Users that are interested in bayeSDE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,722Dec 30, 2024Updated last year
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆92Oct 19, 2022Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆61Sep 30, 2024Updated last year
- Convex potential flows☆87Nov 19, 2021Updated 4 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆288Nov 25, 2021Updated 4 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.
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆707Oct 22, 2022Updated 3 years ago
- ☆31May 4, 2020Updated 6 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆43Oct 26, 2020Updated 5 years ago
- Regularized Neural ODEs (RNODE)☆81Jul 16, 2021Updated 4 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆124May 11, 2021Updated 5 years ago
- code for "Neural Jump Ordinary Differential Equations"☆31Feb 16, 2023Updated 3 years ago
- Official implementation of spectrum bifurcation renormalization group(SBRG), which is suitable for quantum simulation on strong disordere…☆11Feb 23, 2021Updated 5 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆482Sep 4, 2025Updated 8 months ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Nov 20, 2021Updated 4 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.
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,569May 2, 2024Updated 2 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆667Sep 22, 2020Updated 5 years ago
- ☆13Oct 24, 2021Updated 4 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆76May 1, 2022Updated 4 years ago
- Refining continuous-in-depth neural networks☆42Nov 14, 2021Updated 4 years ago
- Latent Differential Equations models in Julia.☆39Sep 19, 2022Updated 3 years ago
- ☆18Mar 20, 2022Updated 4 years ago
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆133May 13, 2026Updated last week
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 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.
- ☆16May 30, 2023Updated 2 years ago
- Probabilistic Solution of Differential Equations☆13Jun 19, 2022Updated 3 years ago
- Autoregressive model for solving statistical mechanics problems☆11Mar 19, 2021Updated 5 years ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,531Sep 13, 2024Updated last year
- ☆11Apr 14, 2022Updated 4 years ago
- Code for "Neural Stochastic Differential Gaems for Time-series Analysis"☆10Jul 13, 2023Updated 2 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆290Feb 1, 2021Updated 5 years ago
- ☆30Jul 1, 2022Updated 3 years ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,008May 13, 2026Updated last week
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Mar 30, 2021Updated 5 years ago
- This repository contains lectures on Many-body physics and Machine Learning☆13Jun 5, 2021Updated 4 years ago
- Manifold-learning flows (ℳ-flows)☆234Nov 13, 2020Updated 5 years ago
- Exponential families for JAX☆77Updated this week
- Pytorch implementation of Augmented Neural ODEs☆555Feb 9, 2023Updated 3 years ago
- [ICML 2023] Reflected Diffusion Models (https://arxiv.org/abs/2304.04740)☆160Oct 19, 2023Updated 2 years ago
- Normalizing Flows using JAX☆87Nov 30, 2023Updated 2 years ago