Alternatives and similar repositories for torchode

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

• probabilists / zuko
  Normalizing flows in PyTorch
  ☆402Updated 2 months ago
• samuela / torch2jax
  Run PyTorch in JAX. 🤝
  ☆277Updated last week
• lucidrains / jax2torch
  Use Jax functions in Pytorch
  ☆249Updated 2 years ago
• sail-sg / stde
  Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024
  ☆117Updated 8 months ago
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆259Updated 2 years ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆112Updated 5 months ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆308Updated 2 months ago
• ludwigwinkler / JaxLightning
  Running Jax in PyTorch Lightning
  ☆111Updated 8 months ago
• patrick-kidger / optimistix
  Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
  ☆462Updated last week
• pdearena / pdearena
  ☆268Updated 11 months ago
• NVIDIA / torch-harmonics
  Differentiable signal processing on the sphere for PyTorch
  ☆515Updated this week
• esa / torchquad
  Numerical integration in arbitrary dimensions on the GPU using PyTorch / TF / JAX
  ☆207Updated 3 weeks ago
• BirkhoffG / jax-dataloader
  Pytorch-like dataloaders for JAX.
  ☆94Updated 2 months ago
• patrick-kidger / sympy2jax
  Turn SymPy expressions into trainable JAX expressions.
  ☆347Updated 4 months ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆282Updated 3 years ago
• google-deepmind / kfac-jax
  Second Order Optimization and Curvature Estimation with K-FAC in JAX.
  ☆282Updated last month
• malbergo / stochastic-interpolants
  ☆171Updated last year
• probabilists / azula
  Diffusion models in PyTorch
  ☆107Updated 2 months ago
• wilson-labs / cola
  Compositional Linear Algebra
  ☆489Updated 3 weeks ago
• patrick-kidger / sympytorch
  Turning SymPy expressions into PyTorch modules.
  ☆148Updated 2 years ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆171Updated 3 years ago
• facebookresearch / neural-conservation-law
  code for "Neural Conservation Laws A Divergence-Free Perspective".
  ☆40Updated 2 years ago
• maxxxzdn / clifford-group-equivariant-cnns
  Clifford-Steerable Convolutional Neural Networks [ICML'24]
  ☆49Updated 3 months ago
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆269Updated last month
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆107Updated last year
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆628Updated 2 weeks ago
• DSL-Lab / GRBM
  Gaussian-Bernoulli Restricted Boltzmann Machines
  ☆104Updated 2 years ago
• JTT94 / diffusion_schrodinger_bridge
  PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
  ☆179Updated 3 years ago
• PolymathicAI / multiple_physics_pretraining
  Code for paper "Multiple Physics Pretraining for Physical Surrogate Models
  ☆169Updated 8 months ago
• samholt / NeuralLaplace
  Neural Laplace: Differentiable Laplace Reconstructions for modelling any time observation with O(1) complexity.
  ☆80Updated 4 months ago