Alternatives and similar repositories for torchsde:

Users that are interested in torchsde are comparing it to the libraries listed below

• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,473Updated last year
• Zymrael / awesome-neural-ode
  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…
  ☆1,429Updated 7 months ago
• msurtsukov / neural-ode
  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
  ☆747Updated last year
• patrick-kidger / NeuralCDE
  Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
  ☆649Updated 2 years ago
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆434Updated last year
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,611Updated last week
• rtqichen / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆5,922Updated last month
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆541Updated 2 years ago
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆639Updated 4 years ago
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆962Updated 3 weeks ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆678Updated 3 years ago
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆909Updated 4 months ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆278Updated 3 years ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,335Updated last year
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆444Updated 8 months ago
• google-deepmind / optax
  Optax is a gradient processing and optimization library for JAX.
  ☆1,875Updated this week
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,424Updated this week
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,516Updated this week
• pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,251Updated this week
• cvxgrp / cvxpylayers
  Differentiable convex optimization layers
  ☆1,913Updated 5 months ago
• patrick-kidger / equinox
  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
  ☆2,336Updated last week
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆503Updated 2 weeks ago
• mattjj / autodidact
  A pedagogical implementation of Autograd
  ☆978Updated 4 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆580Updated 4 months ago
• google / edward2
  A simple probabilistic programming language.
  ☆695Updated 2 months ago
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆468Updated 4 years ago
• YuliaRubanova / latent_ode
  Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
  ☆551Updated 4 years ago
• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,091Updated last week
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,692Updated last month
• Harry24k / bayesian-neural-network-pytorch
  PyTorch implementation of bayesian neural network [torchbnn]
  ☆526Updated 9 months ago