Alternatives and similar repositories for rodeo-legacy

Users that are interested in rodeo-legacy are comparing it to the libraries listed below

• glouppe / flowing-with-jax
  ☆15Updated 4 years ago
• juliagusak / neural-ode-metasolver
  Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
  ☆25Updated 4 years ago
• Joshuaalbert / jaxnlds
  Inference on non-linear dynamical systems written in JAX
  ☆11Updated 4 years ago
• mfinzi / residual-pathway-priors
  ☆19Updated 3 years ago
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆39Updated 4 years ago
• DiffEqML / tutorials
  ☆10Updated 3 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• gbaydin / difftorch
  A differentiation API for PyTorch
  ☆30Updated 4 years ago
• franrruiz / uivi
  Code for Unbiased Implicit Variational Inference (UIVI)
  ☆14Updated 6 years ago
• aboustati / vargrad
  Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference
  ☆12Updated 4 years ago
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• desi-ivanova / idad
  Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods
  ☆19Updated 3 years ago
• nestordemeure / jochastic
  A JAX implementation of stochastic addition.
  ☆14Updated 2 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆52Updated 4 years ago
• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆41Updated 5 years ago
• mattjj / ode-diff-notes
  ☆12Updated 4 years ago
• PredictiveIntelligenceLab / JAX-BO
  ☆30Updated 2 years ago
• gehring / fax
  ☆80Updated 3 years ago
• gebob19 / introduction_to_normalizing_flows
  Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'
  ☆26Updated 4 years ago
• PrincetonLIPS / AHGP
  [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)
  ☆21Updated 4 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆87Updated 2 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆22Updated 5 years ago
• hadyelsahar / EBM-visualizations
  notebooks of cool EBM visualizations
  ☆15Updated 4 years ago
• li012589 / HMC_pytorch
  A pytorch version of hamiltonian monte carlo
  ☆14Updated 5 years ago
• alexub / jax-meta-learning
  Simple, extensible implementations of some meta-learning algorithms in Jax
  ☆10Updated 4 years ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 10 months ago
• asteroidhouse / INN-exploding-inverses
  Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347
  ☆30Updated 4 years ago
• aterenin / SparseGPAX
  An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.
  ☆22Updated 4 years ago
• JSC370 / jsc370.github.io
  Course Website
  ☆9Updated 3 years ago
• lzzcd001 / ade-code
  Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)
  ☆13Updated 5 years ago