Alternatives and similar repositories for lipizzaner-gan

Users that are interested in lipizzaner-gan are comparing it to the libraries listed below

• rasmusbergpalm / evostrat
  A library that makes Evolutionary Strategies (ES) simple to use.
  ☆180Updated 4 years ago
• google-research / tensorflow_constrained_optimization
  ☆309Updated 4 years ago
• yfletberliac / rlss-2019
  Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
  ☆89Updated 5 years ago
• osigaud / rl_labs_notebooks
  Labs for understanding and coding Standard Reinforcement Learning concepts
  ☆54Updated 6 years ago
• brain-research / guided-evolutionary-strategies
  Guided Evolutionary Strategies
  ☆271Updated 2 years ago
• uber-research / EvoGrad
  ☆183Updated last year
• google-research / rl-reliability-metrics
  The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as …
  ☆165Updated 2 years ago
• uber-research / poet
  Paired Open-Ended Trailblazer (POET) and Enhanced POET
  ☆254Updated 3 years ago
• bamos / thesis
  Differentiable Optimization-Based Modeling for Machine Learning
  ☆339Updated 5 years ago
• eemlcommunity / PracticalSessions2019
  Materials for the practical sessions at EEML2019
  ☆80Updated 5 years ago
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆66Updated 5 years ago
• hardmaru / astool
  Augmented environments with RL
  ☆104Updated 6 years ago
• yk / youtube-flatland
  Let's solve the flatland challenge!
  ☆73Updated last year
• facebookresearch / rlstructures
  RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, a…
  ☆260Updated 2 years ago
• depthfirstlearning / depthfirstlearning.com
  ☆197Updated last year
• IssamLaradji / sps
  Official code for the Stochastic Polyak step-size optimizer
  ☆139Updated last year
• tmlss2018 / PracticalSessions
  ☆123Updated 6 years ago
• AnjieCheng / awesome-multi-objective-optimization
  A curated list of awesome multi-objective optimization research resources.
  ☆65Updated 7 years ago
• hardmaru / gecco-tutorial-2019
  2019 talk at GECCO
  ☆68Updated 6 years ago
• sunblaze-ucb / rl-generalization
  Modifiable OpenAI Gym environments for studying generalization in RL
  ☆87Updated 6 years ago
• activatedgeek / torchrl
  Highly Modular and Scalable Reinforcement Learning
  ☆116Updated 5 years ago
• openopt / chop
  CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
  ☆78Updated last year
• hardmaru / pytorch_notebooks
  tutorial notebooks
  ☆387Updated 7 years ago
• StefanoFioravanzo / MAP-Elites
  Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
  ☆55Updated 4 years ago
• eemlcommunity / PracticalSessions2020
  Repository for tutorial sessions at EEML2020
  ☆270Updated 4 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated last year
• lucfra / FAR-HO
  Gradient based hyperparameter optimization & meta-learning package for TensorFlow
  ☆188Updated 5 years ago
• RobertTLange / reading-notes-ml
  Progress, Notes, Summaries and a lot of Questions on Machine Learning
  ☆55Updated 5 years ago
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆191Updated 2 years ago
• neuroinfo-os / deep-bottleneck
  Repository of the Study Project "Understanding learning in deep neural networks with the help of information theory"
  ☆24Updated 2 years ago