Alternatives and similar repositories for trickster

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

• sergio-hcsoft / FractalAI
  Cellular automaton-based calculus for the masses
  ☆24Updated 7 years ago
• Guillemdb / FractalAI
  Celular automaton-based calculus for the masses
  ☆111Updated 5 years ago
• sash-a / es_pytorch
  High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters
  ☆27Updated 4 years ago
• mtrazzi / spinning-up-a-Pong-AI-with-deep-RL
  Code for "Spinning Up a Pong AI With Deep RL" on FloydHub.
  ☆55Updated 7 years ago
• mcleonard / xaby
  Functional machine learning for fun
  ☆85Updated 4 years ago
• instadeepai / AlphaNPI
  Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.
  ☆80Updated 2 years ago
• rldotai / mdpy
  Markov Decision Processes in Python
  ☆15Updated 7 years ago
• PartnershipOnAI / safelife
  SafeLife: safety benchmarks for reinforcement learning agents
  ☆61Updated 4 years ago
• p-christ / nn_builder
  Build neural networks with less boilerplate code
  ☆164Updated 2 years ago
• hardmaru / gecco-tutorial-2019
  2019 talk at GECCO
  ☆68Updated 6 years ago
• pmlg / deep-rl-bootcamp
  Deep RL Bootcamp solutions
  ☆34Updated 8 years ago
• rasmusbergpalm / evostrat
  A library that makes Evolutionary Strategies (ES) simple to use.
  ☆180Updated 4 years ago
• cgreer / alpha-zero-boosted
  A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
  ☆87Updated 10 months ago
• rldotai / rl-algorithms
  Reinforcement learning algorithms
  ☆41Updated 6 years ago
• opherlieber / rltime
  RLtime is a reinforcement learning library focused on state-of-the-art q-learning algorithms and features
  ☆142Updated 6 years ago
• google-deepmind / tvt
  ☆48Updated 6 years ago
• cair / PyTsetlinMachineCUDA
  Massively Parallel and Asynchronous Architecture for Logic-based AI
  ☆43Updated 3 years ago
• cjratcliff / ml-compiled
  Quick definitions and intuitive explanations around machine learning.
  ☆38Updated last month
• uber-research / Synthetic-Petri-Dish
  ☆42Updated 5 years ago
• google-deepmind / dm_memorytasks
  A set of 13 diverse machine-learning tasks that require memory to solve.
  ☆225Updated 4 years ago
• goktug97 / estorch
  Evolution Strategy Library
  ☆56Updated 5 years ago
• floringogianu / paper-notebooks
  A collection of notebooks aiding the understanding of machine-learning papers.
  ☆10Updated 4 years ago
• evhub / bbopt
  Black box hyperparameter optimization made easy.
  ☆77Updated 2 years ago
• ImparaAI / monte-carlo-tree-search
  Library for running a Monte Carlo tree search, either traditionally or with expert policies
  ☆127Updated last year
• automl / ParameterImportance
  Parameter Importance Analysis Tool
  ☆77Updated 4 years ago
• matthiasplappert / keras-rl-weights
  Trained models for keras-rl.
  ☆21Updated 9 years ago
• agentmodels / agentmodels.org
  Modeling agents with probabilistic programs
  ☆68Updated 6 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 3 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆96Updated 5 years ago
• learningtopredict / learningtopredict.github.io
  ☆29Updated 4 years ago