jliphard / DeepEvolve
Rapid hyperparameter discovery for neural nets using genetic algorithms
☆179Updated 3 years ago
Related projects: ⓘ
- Evolving a neural network with a genetic algorithm.☆693Updated 6 years ago
- CNN architecture exploration using Genetic Algorithm☆215Updated 2 years ago
- Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration☆79Updated 7 years ago
- Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algori…☆241Updated 3 years ago
- Genetic algorithm to optimize Keras Sequential model☆21Updated 5 years ago
- Hyper-parameter optimization for Keras☆47Updated 3 years ago
- ☆545Updated last year
- Hyperparameter tuning for machine learning models using a distributed genetic algorithm☆84Updated last week
- Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…☆106Updated 6 years ago
- Experimental Global Optimization Algorithm☆480Updated 6 years ago
- Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture☆25Updated 6 years ago
- Building and training artificial neural networks (regression or classification) using the genetic algorithm.☆239Updated 7 months ago
- A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)☆75Updated 9 months ago
- Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.☆57Updated 6 years ago
- A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.☆157Updated last year
- Python library for Bayesian hyper-parameters optimization☆86Updated 6 years ago
- ☆70Updated 4 years ago
- Training of Neural Network using Particle Swarm Optimization☆29Updated 5 years ago
- Evolutionary Neural Networks backed by TensorFlow and pure Python☆108Updated 7 years ago
- Guided Evolutionary Strategies☆264Updated last year
- Genetic neural architecture search with Keras☆948Updated last year
- A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm☆102Updated last month
- A fast Evolution Strategy implementation in Python☆268Updated 4 years ago
- implementation of neat like genetic algorithm for finding network topologies in tensorflow☆68Updated 5 years ago
- Notebooks on how to use Distributed Evolutionary Algorithm in Python (DEAP)☆225Updated 2 years ago
- TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT☆119Updated 11 months ago
- Population Based Training (in PyTorch with sqlite3). Status: Unsupported☆165Updated 6 years ago
- Deep Neuroevolution☆1,628Updated 8 months ago
- This is the code for "LSTM Networks - The Math of Intelligence (Week 8)" By Siraj Raval on Youtube☆196Updated 2 months ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆113Updated 7 years ago