Alternatives and similar repositories for Neural-Ordinary-Differential-Equations

Users that are interested in Neural-Ordinary-Differential-Equations are comparing it to the libraries listed below

• mandubian / neural-ode
  Neural Ordinary Differential Equation
  ☆102Updated 6 years ago
• amirgholami / anode
  [IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
  ☆107Updated 4 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆132Updated 5 years ago
• uber-research / metropolis-hastings-gans
  ☆116Updated last year
• google-deepmind / spectral_inference_networks
  Implementation of Spectral Inference Networks, ICLR 2019
  ☆172Updated 6 years ago
• brain-research / l2hmc
  TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
  ☆183Updated 6 years ago
• edwardlib / observations
  Tools for loading standard data sets in machine learning
  ☆204Updated 2 years ago
• yaroslavvb / kfac_pytorch
  ☆133Updated 7 years ago
• titu1994 / tfdiffeq
  Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
  ☆221Updated 4 years ago
• google-deepmind / symplectic-gradient-adjustment
  A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"
  ☆153Updated 6 years ago
• ssydasheng / Neural-Kernel-Network
  Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
  ☆71Updated 7 years ago
• brain-research / guided-evolutionary-strategies
  Guided Evolutionary Strategies
  ☆271Updated 2 years ago
• reproducibility-challenge / iclr_2019
  ICLR Reproducibility Challenge 2019
  ☆217Updated 6 years ago
• bharathgs / NALU
  Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al
  ☆115Updated 6 years ago
• jason71995 / Keras_ODENet
  Implementation of (2018) Neural Ordinary Differential Equations on Keras
  ☆66Updated 6 years ago
• edouardoyallon / pyscatwave
  Fast Scattering Transform with CuPy/PyTorch
  ☆296Updated 5 years ago
• ermongroup / a-nice-mc
  Code for "A-NICE-MC: Adversarial Training for MCMC"
  ☆125Updated 7 years ago
• kirthevasank / nasbot
  Neural Architecture Search with Bayesian Optimisation and Optimal Transport
  ☆134Updated 6 years ago
• mariogeiger / hessian
  hessian in pytorch
  ☆187Updated 4 years ago
• tensorflow / kfac
  An implementation of KFAC for TensorFlow
  ☆198Updated 3 years ago
• ispamm / kernel-activation-functions
  Several implementations of the kernel-based activation functions
  ☆62Updated 6 years ago
• miyosuda / disentangled_vae
  Replicating "Understanding disentangling in β-VAE"
  ☆199Updated 7 years ago
• LMescheder / AdversarialVariationalBayes
  This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…
  ☆206Updated 7 years ago
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆359Updated 5 years ago
• hardmaru / pytorch_notebooks
  tutorial notebooks
  ☆387Updated 7 years ago
• markvdw / convgp
  Convolutional Gaussian processes based on GPflow.
  ☆95Updated 7 years ago
• ericjang / normalizing-flows-tutorial
  Tutorial on normalizing flows.
  ☆299Updated 7 years ago
• yaringal / ConcreteDropout
  Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
  ☆252Updated 6 years ago
• yaringal / HeteroscedasticDropoutUncertainty
  Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.
  ☆140Updated 9 years ago
• pawni / BayesByHypernet
  Code for the paper Implicit Weight Uncertainty in Neural Networks
  ☆65Updated 5 years ago