Alternatives and similar repositories for mdpy

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

• rldotai / rl-algorithms
  Reinforcement learning algorithms
  ☆41Updated 6 years ago
• csxeba / trickster
  Reinforcement learning in TensorFlow 2
  ☆22Updated 3 years ago
• cair / fast-tsetlin-machine-in-cuda-with-imdb-demo
  A CUDA implementation of the Tsetlin Machine based on bitwise operators
  ☆26Updated 6 years ago
• sergio-hcsoft / FractalAI
  Cellular automaton-based calculus for the masses
  ☆24Updated 7 years ago
• cgreer / alpha-zero-boosted
  A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
  ☆86Updated 8 months ago
• learningtopredict / learningtopredict.github.io
  ☆29Updated 3 years ago
• CarsonScott / CALM
  Conditional Associative Logic Memory
  ☆27Updated 8 years ago
• ethanluoyc / dhmc-jax
  Discontinuous Hamiltonian Monte Carlo in JAX
  ☆42Updated 5 years ago
• facebookresearch / rela
  Reinforcement Learning Assembly
  ☆92Updated 4 years ago
• smearle / gym-city
  An interface with micropolis for city-building agents, packaged as an OpenAI gym environment
  ☆158Updated 7 months ago
• google-research / policy-learning-landscape
  Explore the optimization landscape for direct policy learning reinforcement learning.
  ☆51Updated 6 years ago
• PartnershipOnAI / safelife
  SafeLife: safety benchmarks for reinforcement learning agents
  ☆61Updated 4 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆55Updated 5 years ago
• pmlg / deep-rl-bootcamp
  Deep RL Bootcamp solutions
  ☆34Updated 7 years ago
• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆14Updated 5 years ago
• ofnote / tsanley
  A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")
  ☆40Updated 6 years ago
• hardmaru / presentations
  presentations
  ☆44Updated 6 years ago
• cjratcliff / ml-compiled
  Quick definitions and intuitive explanations around machine learning.
  ☆37Updated 2 months ago
• hannw / sgrnn
  Tensorflow implementation of Synthetic Gradient for RNN (LSTM)
  ☆40Updated 7 years ago
• AlexIoannides / pymc-stochastic-process
  Bayesian Inference and parameter estimation in quant finance.
  ☆43Updated 6 years ago
• cshenton / neuroevolution
  Replication of Uber Neuroevolution paper
  ☆46Updated 7 years ago
• wulfebw / async_rl
  Python implementation of tabular asynchronous actor critic
  ☆11Updated 9 years ago
• hardmaru / gecco-tutorial-2019
  2019 talk at GECCO
  ☆68Updated 6 years ago
• evhub / bbopt
  Black box hyperparameter optimization made easy.
  ☆76Updated 2 years ago
• fastai / fastforest
  A forest that is fast
  ☆42Updated 6 years ago
• mratsim / meilleur-data-scientist-france-2018
  My solution for the competition "Le meilleur data scientist de France 2018" (Best Data Scientist of France 2018)
  ☆12Updated 7 years ago
• mtrazzi / gym-alttp-gridworld
  A gym environment for Stuart Armstrong's model of a treacherous turn.
  ☆18Updated 7 years ago
• agentmodels / agentmodels.org
  Modeling agents with probabilistic programs
  ☆67Updated 6 years ago
• BY571 / Upside-Down-Reinforcement-Learning
  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
  ☆77Updated 5 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆79Updated 2 years ago