Alternatives and similar repositories for e2e-model-learning

Users that are interested in e2e-model-learning are comparing it to the libraries listed below

• locuslab / icnn
  Input Convex Neural Networks
  ☆297Updated 6 years ago
• devsisters / neural-combinatorial-rl-tensorflow
  in progress
  ☆108Updated 8 years ago
• siemens / policy_search_bb-alpha
  ☆69Updated 7 years ago
• ADGEfficiency / energy-py
  Reinforcement learning for energy systems
  ☆181Updated 3 months ago
• SheffieldML / deepGP
  Deep Gaussian Processes in matlab
  ☆93Updated 4 years ago
• yaringal / HeteroscedasticDropoutUncertainty
  Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.
  ☆141Updated 9 years ago
• pemami4911 / sinkhorn-policy-gradient.pytorch
  Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
  ☆39Updated 7 years ago
• cvxgrp / cvxflow
  ☆67Updated 7 years ago
• arnomoonens / yarll
  Combining deep learning and reinforcement learning.
  ☆81Updated 3 years ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• rarilurelo / pcl_keras
  reinforcement learning. policy gradient. PCL
  ☆37Updated 8 years ago
• akshaykgupta / SG_MCMC
  Implementation of Stochastic Gradient MCMC algorithms
  ☆41Updated 8 years ago
• RuiShu / nn-bayesian-optimization
  We use a modified neural network instead of Gaussian process for Bayesian optimization.
  ☆108Updated 8 years ago
• mirceamironenco / BayesianRecurrentNN
  Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
  ☆219Updated 6 years ago
• hhexiy / scip-dagger
  A branch-and-bound ILP solver
  ☆27Updated 6 years ago
• muupan / deep-ensemble-uncertainty
  An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)
  ☆35Updated 8 years ago
• kirthevasank / add-gp-bandits
  Additive Gaussian Process Bandits - version 1.0
  ☆27Updated 8 years ago
• eparisotto / ActorMimic
  Train an RL agent to play multiple Atari games at once
  ☆69Updated 9 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆34Updated 4 years ago
• brain-research / guided-evolutionary-strategies
  Guided Evolutionary Strategies
  ☆272Updated 2 years ago
• ziyuw / rembo
  Bayesian optimization in high-dimensions via random embedding.
  ☆114Updated 12 years ago
• locuslab / newton_admm
  A Newton ADMM based solver for Cone programming.
  ☆39Updated 8 years ago
• awslabs / or-rl-benchmarks
  The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
  ☆84Updated 4 years ago
• AI-ON / Multitask-and-Transfer-Learning
  Benchmark and build RL architectures that can do multitask and transfer learning.
  ☆144Updated 2 years ago
• tor / libbandit
  Library for Multi-Armed Bandit Algorithms
  ☆56Updated 8 years ago
• ili3p / HORD
  Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
  ☆115Updated 8 years ago
• ChunyuanLI / pSGLD
  AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
  ☆35Updated 7 years ago
• thangbui / deepGP_approxEP
  see https://github.com/thangbui/geepee for a faster implementation
  ☆37Updated 8 years ago
• iaroslav-ai / gan-rl
  Training Reinforcement Learning agent using derivative of Generative Recurrent Neural Network model of environment
  ☆24Updated 8 years ago
• floringogianu / categorical-dqn
  A working implementation of the Categorical DQN (Distributional RL).
  ☆96Updated 7 years ago