Alternatives and similar repositories for gecco-tutorial-2019

Users that are interested in gecco-tutorial-2019 are comparing it to the libraries listed below

• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆61Updated 5 years ago
• brain-research / guided-evolutionary-strategies
  Guided Evolutionary Strategies
  ☆272Updated 2 years ago
• ericjang / maml-jax
  Implementation of Model-Agnostic Meta-Learning (MAML) in Jax
  ☆191Updated 3 years ago
• hardmaru / presentations
  presentations
  ☆44Updated 7 years ago
• rachit-dubey / humanRL_prior_games
  [ICML-18] Codes for the custom games we built to compare RL agents with humans
  ☆66Updated 7 years ago
• MillionIntegrals / vel
  Velocity in deep-learning research
  ☆279Updated 3 years ago
• bharathgs / NALU
  Basic pytorch implementation of NAC/NALU from Neural Arithmetic Logic Units paper by trask et.al
  ☆115Updated 7 years ago
• AdeelMufti / WorldModels
  Full World Models Implementation in Chainer
  ☆168Updated 7 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 7 years ago
• AI-ON / TheConsciousnessPrior
  AI-ON Consciousness Prior
  ☆97Updated 7 years ago
• hardmaru / astool
  Augmented environments with RL
  ☆103Updated 6 years ago
• uber-research / EvoGrad
  ☆182Updated last year
• JohnLangford / RL_acid
  Some hard problems for reinforcement learning.
  ☆32Updated 7 years ago
• zuoxingdong / lagom
  lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
  ☆378Updated 3 years ago
• RL-Group / tutorials-and-papers
  Collection of tutorials, exercises and papers on RL
  ☆17Updated 8 years ago
• AnnaBeers / DeepZine
  Synthetic book pages created with a PGGAN
  ☆73Updated 7 years ago
• unixpickle / anyrl-py
  A reinforcement learning framework
  ☆157Updated 7 years ago
• inferno-pytorch / speedrun
  Research code need not be ugly.
  ☆77Updated 2 years ago
• mfranzs / meta-learning-curiosity-algorithms
  ☆80Updated 2 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 6 years ago
• Cohere-Labs-Community / rl
  Generic reinforcement learning codebase in TensorFlow
  ☆95Updated 4 years ago
• brendenlake / AAI-site
  NYU PSYCH-GA 3405.001 / DS-GA 3001.014 : Advancing AI through cognitive science
  ☆132Updated 6 years ago
• depthfirstlearning / depthfirstlearning.com
  ☆197Updated last year
• Miej / Dynamic_Neural_Manifold
  ☆114Updated last year
• cshenton / neuroevolution
  Replication of Uber Neuroevolution paper
  ☆46Updated 7 years ago
• Bam4d / Neural-Game-Engine
  Code to reproduce Neural Game Engine experiments and pre-trained models
  ☆41Updated 3 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆193Updated 2 years ago
• AdamStelmaszczyk / learning2run
  Our NIPS 2017: Learning to Run source code
  ☆55Updated 2 years ago
• zuoxingdong / ML-LaTeX-Shortcuts
  A collection of LaTeX shortcuts for commonly used mathematical expressions in machine learning.
  ☆58Updated 6 years ago
• google-deepmind / spectral_inference_networks
  Implementation of Spectral Inference Networks, ICLR 2019
  ☆172Updated 6 years ago