Alternatives and similar repositories for icnn

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

• locuslab / optnet
  OptNet: Differentiable Optimization as a Layer in Neural Networks
  ☆563Updated 5 years ago
• siemens / policy_search_bb-alpha
  ☆69Updated 7 years ago
• yaringal / HeteroscedasticDropoutUncertainty
  Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.
  ☆141Updated 9 years ago
• ericjang / e2c
  TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
  ☆64Updated 9 years ago
• kentsommer / pytorch-value-iteration-networks
  Pytorch implementation of Value Iteration Networks (NIPS 2016 best paper)
  ☆318Updated 5 years ago
• bamos / thesis
  Differentiable Optimization-Based Modeling for Machine Learning
  ☆343Updated 6 years ago
• dilinwang820 / Stein-Variational-Gradient-Descent
  code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
  ☆409Updated last year
• locuslab / e2e-model-learning
  Task-based end-to-end model learning in stochastic optimization
  ☆213Updated 4 years ago
• locuslab / qpth
  A fast and differentiable QP solver for PyTorch.
  ☆769Updated last year
• RuiShu / nn-bayesian-optimization
  We use a modified neural network instead of Gaussian process for Bayesian optimization.
  ☆108Updated 8 years ago
• jsikyoon / Interaction-networks_tensorflow
  Tensorflow Implementation of Interaction Networks for Learning about Objects, Relations and Physics
  ☆158Updated 8 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
• tqchen / ML-SGHMC
  Experiment code for Stochastic Gradient Hamiltonian Monte Carlo
  ☆110Updated 7 years ago
• brain-research / guided-evolutionary-strategies
  Guided Evolutionary Strategies
  ☆272Updated 2 years ago
• duvenaud / deep-limits
  Repo for a paper about constructing priors on very deep models.
  ☆73Updated 9 years ago
• yaringal / DropoutUncertaintyDemos
  What My Deep Model Doesn't Know...
  ☆116Updated 10 years ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆92Updated 4 years ago
• locuslab / lcp-physics
  A differentiable LCP physics engine in PyTorch.
  ☆308Updated 4 years ago
• atgambardella / pytorch-es
  Evolution Strategies in PyTorch
  ☆355Updated 8 years ago
• zuoxingdong / VIN_PyTorch_Visdom
  PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.
  ☆225Updated 8 years ago
• iosband / TabulaRL
  ☆66Updated last year
• ermongroup / a-nice-mc
  Code for "A-NICE-MC: Adversarial Training for MCMC"
  ☆125Updated 7 years ago
• t-vi / candlegp
  Gaussian Processes in Pytorch
  ☆75Updated 5 years ago
• Breakend / DeepReinforcementLearningThatMatters
  Accompanying code for "Deep Reinforcement Learning that Matters"
  ☆153Updated 8 years ago
• bamos / block
  An intelligent block matrix library for numpy, PyTorch, and beyond.
  ☆310Updated last year
• yaroslavvb / kfac_pytorch
  ☆134Updated 8 years ago
• rlbayes / rllabplusplus
  ☆160Updated 8 years ago
• akshaykgupta / SG_MCMC
  Implementation of Stochastic Gradient MCMC algorithms
  ☆41Updated 8 years ago
• isl-org / DirectFuturePrediction
  Code for the paper "Learning to Act by Predicting the Future", Alexey Dosovitskiy and Vladlen Koltun, ICLR 2017
  ☆151Updated last year
• cvxgrp / qcqp
  A CVXPY extension for handling nonconvex QCQP via Suggest-and-Improve framework
  ☆117Updated 5 years ago