Alternatives and similar repositories for DeepSwarm

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

• google-deepmind / scalable_agent
  A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
  ☆1,003Updated 6 years ago
• Alro10 / awesome-deep-neuroevolution
  A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
  ☆222Updated 4 years ago
• dkeras-project / dkeras
  Distributed Keras Engine, Make Keras faster with only one line of code.
  ☆189Updated 5 years ago
• uber-research / EvoGrad
  ☆182Updated 10 months ago
• joeddav / devol
  Genetic neural architecture search with Keras
  ☆949Updated 2 years ago
• hardmaru / estool
  Evolution Strategies Tool
  ☆949Updated 2 years ago
• rlgraph / rlgraph
  RLgraph: Modular computation graphs for deep reinforcement learning
  ☆319Updated 5 years ago
• cpnota / autonomous-learning-library
  A PyTorch library for building deep reinforcement learning agents.
  ☆650Updated last year
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆707Updated 4 years ago
• higgsfield / np-hard-deep-reinforcement-learning
  pytorch neural combinatorial optimization
  ☆384Updated 7 years ago
• jliphard / DeepEvolve
  Rapid hyperparameter discovery for neural nets using genetic algorithms
  ☆181Updated 4 years ago
• nicklashansen / neural-net-optimization
  PyTorch implementations of recent optimization algorithms for deep learning.
  ☆61Updated 5 years ago
• blue-season / pywarm
  A cleaner way to build neural networks for PyTorch.
  ☆184Updated 5 years ago
• csxeba / evolute
  Evolutionary algorithm toolbox
  ☆182Updated 6 years ago
• RJT1990 / mantra
  A high-level, rapid development framework for machine learning projects
  ☆345Updated last year
• zuoxingdong / lagom
  lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
  ☆375Updated 2 years ago
• google-research / seed_rl
  SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…
  ☆821Updated 2 years ago
• naszilla / naszilla
  Naszilla is a Python library for neural architecture search (NAS)
  ☆310Updated 2 years ago
• ameya98 / GeneticAlgorithmsRepo
  Genetic algorithm packages for optimization in Python.
  ☆80Updated 6 years ago
• fcampelo / EC-Bestiary
  A bestiary of evolutionary, swarm and other metaphor-based algorithms
  ☆641Updated last year
• google-deepmind / lab2d
  A customisable 2D platform for agent-based AI research
  ☆428Updated last year
• gugarosa / opytimizer
  🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
  ☆616Updated 7 months ago
• google-deepmind / dm_memorytasks
  A set of 13 diverse machine-learning tasks that require memory to solve.
  ☆223Updated 3 years ago
• uber-research / PyTorch-NEAT
  ☆557Updated 2 years ago
• uber-research / deep-neuroevolution
  Deep Neuroevolution
  ☆1,649Updated last year
• imagry / aleph_star
  Reinforcement learning with A* and a deep heuristic
  ☆294Updated 6 years ago
• google-deepmind / spriteworld
  Spriteworld: a flexible, configurable python-based reinforcement learning environment
  ☆370Updated 5 years ago
• noahtren / Freewire
  An experiment with "freely" wired neural networks (no layers)
  ☆163Updated 10 months ago
• Pulkit-Khandelwal / Reinforcement-Learning-Notebooks
  A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
  ☆1,046Updated 6 years ago
• Guillemdb / FractalAI
  Celular automaton-based calculus for the masses
  ☆112Updated 5 years ago