Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
☆63Feb 4, 2021Updated 5 years ago
Alternatives and similar repositories for torchdiffeq
Users that are interested in torchdiffeq 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 "Neural Jump Ordinary Differential Equations"☆31Feb 16, 2023Updated 3 years ago
- Code for "Latent ODEs for Irregularly-Sampled Time Series" paper☆597Dec 3, 2020Updated 5 years ago
- Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)☆714Oct 22, 2022Updated 3 years ago
- This repo is the official implementation for the series of works on (Path-dependent) Neural Jump ODEs.☆27Feb 8, 2026Updated 5 months ago
- CANV: Co-Authorship Network Visualization.☆16Mar 10, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆124May 11, 2021Updated 5 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
- Implementation of "Neural Jump-Diffusion Temporal Point Processes" (ICML 2024 Spotlight)☆20Jul 18, 2025Updated last year
- A diffusion-based framework for spatio-temporal point processes☆78Mar 25, 2024Updated 2 years ago
- Accompanying code for the paper "Amortized reparametrization: efficient and scalable variational inference for latent SDEs☆18Nov 11, 2023Updated 2 years ago
- NeuralFractal | A Visual Exploration of Neural Dynamical Systems☆18Jan 11, 2022Updated 4 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆132Aug 27, 2024Updated last year
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆117Oct 22, 2020Updated 5 years ago
- ☆18Aug 18, 2025Updated 11 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,728Dec 30, 2024Updated last year
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆485Sep 4, 2025Updated 10 months ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,574May 2, 2024Updated 2 years ago
- Tensorflow code for "Learning Self-Imitating Diverse Policies" (ICLR 2019)☆20Nov 26, 2020Updated 5 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆49Nov 5, 2020Updated 5 years ago
- Pytorch implementation of Augmented Neural ODEs☆558Feb 9, 2023Updated 3 years ago
- ☆62Aug 25, 2020Updated 5 years ago
- Neural Graph Differential Equations (Neural GDEs)☆212Apr 15, 2021Updated 5 years ago
- 原稿用紙；原稿紙；稿紙；日式便箋；UPTEX/UPLATEX 縱書☆10Nov 27, 2019Updated 6 years 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.
- Causal tracing for language models☆12Apr 2, 2024Updated 2 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,467Apr 4, 2025Updated last year
- [ICLR 2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data☆77Jun 12, 2026Updated last month
- ☆35Aug 5, 2023Updated 2 years ago
- ☆11Jan 12, 2022Updated 4 years ago
- MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification☆32Oct 7, 2024Updated last year
- ☆10Jul 7, 2025Updated last year
- Implementation of "A deep solver for BSDEs with jumps"☆17Nov 14, 2024Updated last year
- A simple implementation of TrajDBSCAN algorithm using python.☆11Dec 21, 2016Updated 9 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for Transformer Hawkes Process, ICML 2020.☆204Apr 4, 2024Updated 2 years ago
- Baseline solution for ADC2023 ECML competition☆11Apr 14, 2023Updated 3 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆42Oct 19, 2022Updated 3 years ago
- Keras implementation of SDE-Net (ICML 2020).☆16Sep 11, 2020Updated 5 years ago
- Density Constrained Reinforcement Learning☆12Mar 24, 2023Updated 3 years ago
- Code and dataset for the paper "IsarStep: a Benchmark for High-level Mathematical Reasoning"☆12Mar 15, 2021Updated 5 years ago
- Official implementation of "Learning Proposals for Practical Energy-Based Regression", AISTATS 2022.☆13Feb 4, 2023Updated 3 years ago