ahmedfgad / TorchGALinks
Train PyTorch Models using the Genetic Algorithm with PyGAD
β97Updated 8 months ago
Alternatives and similar repositories for TorchGA
Users that are interested in TorchGA are comparing it to the libraries listed below
Sorting:
- π¦ΎDistributed Natural Evolution Strategies Build with PyTorch and Rayβ17Updated 6 years ago
- Training Keras Models by the Genetic Algorithm using PyGADβ36Updated last year
- PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.β86Updated last year
- A fast implementation of Particle Swarm Optimization using PyTorch in GPUβ29Updated 4 years ago
- Evolving deep neural network agents using Genetic Algorithmsβ67Updated 6 years ago
- Exploring Bayesian Optimizationβ76Updated 3 years ago
- An implementation of CoDeepNEAT using pytorch with extensionsβ31Updated 4 years ago
- Hands-on Reinforcement Learning with PyTorch, published by [Packt]β54Updated 4 years ago
- Upside-Down Reinforcement Learning (β κ€) implementation in PyTorch. Based on the paper published by JΓΌrgen Schmidhuber.β77Updated 4 years ago
- Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.β56Updated 2 years ago
- Dropout as Regularization and Bayesian Approximationβ58Updated 6 years ago
- Experimenting with different regression losses. Implemented in Pytorch.β147Updated 6 years ago
- A neural network hyper parameter tunerβ30Updated last year
- A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)β222Updated 4 years ago
- A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.β34Updated 10 months ago
- Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Controlβ26Updated 2 years ago
- Python Implementation of Parameter-exploring Policy Gradients Evolution Strategyβ16Updated 5 years ago
- Pytorch Optimizer for Simulated Annealingβ27Updated 7 years ago
- Let's solve the flatland challenge!β73Updated last year
- PyTorch Implementation of "Distilling a Neural Network Into a Soft Decision Tree." Nicholas Frosst, Geoffrey Hinton., 2017.β102Updated last year
- A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithmβ107Updated 10 months ago
- Deep neural architecture research frameworkβ12Updated 2 years ago
- Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GPβ53Updated last year
- Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.β60Updated 3 years ago
- Implementing a Gaussian Process regression model from scratchβ23Updated 4 years ago
- A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.β99Updated 2 years ago
- A simple, bare bones, implementation of simulated annealing optimization algorithm.β34Updated 6 months ago
- Lightweight Hyperparameter Optimization πβ147Updated 9 months ago
- π‘ Learnergy is a Python library for energy-based machine learning models.β65Updated 3 months ago
- Example unit tests for deep learning projects.β37Updated 4 years ago