google-research / torchsde

Related projects ⓘ

Alternatives and complementary repositories for torchsde

• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,400Updated 6 months ago
• Zymrael / awesome-neural-ode
  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…
  ☆1,346Updated 2 months ago
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,445Updated this week
• patrick-kidger / NeuralCDE
  Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
  ☆628Updated 2 years ago
• msurtsukov / neural-ode
  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
  ☆693Updated 8 months ago
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆421Updated last year
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆934Updated 2 months ago
• google-deepmind / optax
  Optax is a gradient processing and optimization library for JAX.
  ☆1,702Updated last week
• cvxgrp / cvxpylayers
  Differentiable convex optimization layers
  ☆1,823Updated last week
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆270Updated 2 years ago
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆532Updated last year
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆661Updated 2 years ago
• rtqichen / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆5,602Updated last year
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,279Updated 8 months ago
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆629Updated 4 years ago
• patrick-kidger / equinox
  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
  ☆2,123Updated 3 weeks ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆426Updated 2 months ago
• YuliaRubanova / latent_ode
  Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
  ☆521Updated 3 years ago
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆848Updated last year
• google-deepmind / dm-haiku
  JAX-based neural network library
  ☆2,908Updated 2 weeks ago
• google-deepmind / jraph
  A Graph Neural Network Library in Jax
  ☆1,375Updated 8 months ago
• martenlienen / torchode
  A parallel ODE solver for PyTorch
  ☆232Updated last month
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆471Updated this week
• google-deepmind / chex
  ☆787Updated this week
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆428Updated 3 years ago
• MilesCranmer / symbolic_deep_learning
  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"
  ☆726Updated last year
• kach / gradient-descent-the-ultimate-optimizer
  Code for our NeurIPS 2022 paper
  ☆363Updated last year
• uncertainty-toolbox / uncertainty-toolbox
  Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
  ☆1,832Updated 4 months ago
• google-deepmind / distrax
  ☆536Updated 2 months ago
• google / edward2
  A simple probabilistic programming language.
  ☆679Updated 3 weeks ago