Alternatives and similar repositories for torchdiffeq

Users that are interested in torchdiffeq 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
  ☆1,552Updated last year
• msurtsukov / neural-ode
  Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
  ☆795Updated last year
• Zymrael / awesome-neural-ode
  A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…
  ☆1,515Updated last year
• google-research / torchsde
  Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
  ☆1,701Updated last year
• cornellius-gp / gpytorch
  A highly efficient implementation of Gaussian Processes in PyTorch
  ☆3,824Updated this week
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,371Updated last year
• cvxpy / cvxpylayers
  Differentiable convex optimization layers
  ☆2,048Updated this week
• EmilienDupont / augmented-neural-odes
  Pytorch implementation of Augmented Neural ODEs
  ☆557Updated 3 years ago
• meta-pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,454Updated this week
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆664Updated 5 years ago
• thunil / Physics-Based-Deep-Learning
  Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
  ☆1,867Updated 3 months ago
• PythonOT / POT
  POT : Python Optimal Transport
  ☆2,743Updated this week
• patrick-kidger / NeuralCDE
  Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
  ☆697Updated 3 years ago
• neuraloperator / neuraloperator
  Learning in infinite dimension with neural operators.
  ☆3,377Updated 3 weeks ago
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,160Updated last year
• ml-jku / hopfield-layers
  Hopfield Networks is All You Need
  ☆1,895Updated 2 years ago
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,966Updated 6 months ago
• kmkolasinski / deep-learning-notes
  Experiments with Deep Learning
  ☆1,352Updated 2 years ago
• YuliaRubanova / latent_ode
  Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
  ☆584Updated 5 years ago
• patrick-kidger / diffrax
  Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
  ☆1,893Updated last week
• tum-pbs / PhiFlow
  A differentiable PDE solving framework for machine learning
  ☆1,803Updated 2 weeks ago
• szagoruyko / pytorchviz
  A small package to create visualizations of PyTorch execution graphs
  ☆3,483Updated last year
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆789Updated 3 years ago
• google-deepmind / neural-processes
  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…
  ☆1,014Updated 5 years ago
• tensorly / tensorly
  TensorLy: Tensor Learning in Python.
  ☆1,658Updated 2 months ago
• GPflow / GPflow
  Gaussian processes in TensorFlow
  ☆1,901Updated 8 months ago
• greydanus / hamiltonian-nn
  Code for our paper "Hamiltonian Neural Networks"
  ☆507Updated 4 years ago
• HIPS / autograd
  Efficiently computes derivatives of NumPy code.
  ☆7,449Updated last week
• geomstats / geomstats
  Computations and statistics on manifolds with geometric structures.
  ☆1,451Updated this week
• janosh / awesome-normalizing-flows
  Awesome resources on normalizing flows.
  ☆1,606Updated 7 months ago