Alternatives and similar repositories for TorchGA

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

• pyhopper / pyhopper
  PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.
  ☆87Updated last year
• rohanmohapatra / torchswarm
  A fast implementation of Particle Swarm Optimization using PyTorch in GPU
  ☆29Updated 4 years ago
• nengo / pytorch-spiking
  Spiking neuron integration for PyTorch
  ☆41Updated 3 months ago
• IssamLaradji / sps
  Official code for the Stochastic Polyak step-size optimizer
  ☆139Updated last year
• ahmedfgad / KerasGA
  Training Keras Models by the Genetic Algorithm using PyGAD
  ☆36Updated 2 years ago
• pengyan510 / torcheck
  ☆36Updated 2 years ago
• distillpub / post--bayesian-optimization
  Exploring Bayesian Optimization
  ☆76Updated 3 years ago
• sayakpaul / MLP-Mixer-CIFAR10
  Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.
  ☆56Updated 3 years ago
• captain-pool / hydra-example
  ☆21Updated 3 years ago
• jramapuram / SimulatedAnnealing
  Pytorch Optimizer for Simulated Annealing
  ☆27Updated 7 years ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 3 years ago
• balavenkatesh3322 / hyperparameter_tuning
  A collection of Hyper parameter tuning library.
  ☆41Updated 4 years ago
• The-AI-Summer / RNN_tutorial
  Recurrent neural networks: building a custom LSTM/GRU cell in PyTorch
  ☆28Updated 4 years ago
• amineremache / qbso-fs
  Python implementation of QBSO-FS : a Reinforcement Learning based Bee Swarm Optimization metaheuristic for Feature Selection problem.
  ☆59Updated 5 years ago
• reddragon / efficient-dl-survey-paper
  Efficient Deep Learning Survey Paper
  ☆33Updated 2 years ago
• FelixOpolka / Single-Player-MCTS
  🌳 Python implementation of single-player Monte-Carlo Tree Search.
  ☆63Updated 4 years ago
• voiler / PopulationBasedTraining
  A simple PyTorch implementation of Population Based Training of Neural Networks.
  ☆63Updated 6 years ago
• MatePocs / gym-basic
  basic environment testing in OpenAI's gym
  ☆22Updated 4 years ago
• julestalloen / pytorch-hebbian
  A lightweight and flexible framework for Hebbian learning in PyTorch.
  ☆87Updated last year
• IGITUGraz / L2L
  Learning to Learn: Gradient-free Optimization framework
  ☆36Updated 3 years ago
• saparina / neural-ode
  Experiments with Neural Ordinary Differential Equations on image and text classification tasks
  ☆31Updated 6 years ago
• mohd-faizy / Probabilistic-Deep-Learning-with-TensorFlow
  Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of…
  ☆65Updated 7 months ago
• jihoonerd / Deep-Reinforcement-Learning-with-Double-Q-learning
  📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️
  ☆54Updated last year
• mle-infrastructure / mle-hyperopt
  Lightweight Hyperparameter Optimization 🚂
  ☆147Updated 10 months ago
• takyamamoto / Hopfield-Network
  Hopfield network implemented with Python
  ☆91Updated 4 years ago
• JorgeCeja / evolution-strategies
  🦾Distributed Natural Evolution Strategies Build with PyTorch and Ray
  ☆18Updated 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
• yk / youtube-flatland
  Let's solve the flatland challenge!
  ☆73Updated last year
• teddykoker / learning-to-learn-jax
  JAX implementation of Learning to learn by gradient descent by gradient descent
  ☆27Updated 8 months ago
• ywatanabe1989 / custom_losses_pytorch
  Custom loss functions to use in (mainly) PyTorch.
  ☆39Updated 4 years ago