jliphard / DeepEvolve
Rapid hyperparameter discovery for neural nets using genetic algorithms
☆181Updated 4 years ago
Alternatives and similar repositories for DeepEvolve:
Users that are interested in DeepEvolve are comparing it to the libraries listed below
- Evolving a neural network with a genetic algorithm.☆699Updated 6 years ago
- CNN architecture exploration using Genetic Algorithm☆218Updated 3 years ago
- Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture☆25Updated 7 years ago
- Genetic algorithm to optimize Keras Sequential model☆21Updated 6 years ago
- Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algori…☆247Updated 3 years ago
- Evolutionary Neural Networks backed by TensorFlow and pure Python☆108Updated 8 years ago
- A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)☆76Updated last year
- A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)☆223Updated 4 years ago
- Training of Neural Network using Particle Swarm Optimization☆29Updated 6 years ago
- A Genetic Programming platform for Python with TensorFlow for wicked-fast CPU and GPU support.☆163Updated 2 years ago
- ☆556Updated 2 years ago
- Neural Architecture Search Powered by Swarm Intelligence 🐜☆325Updated 4 years ago
- Deep learning, architecture and hyper parameters search with genetic algorithms☆52Updated 8 months ago
- ☆71Updated 5 years ago
- TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT☆121Updated last year
- Population Based Training (in PyTorch with sqlite3). Status: Unsupported☆164Updated 7 years ago
- implementation of neat like genetic algorithm for finding network topologies in tensorflow☆68Updated 5 years ago
- Implementation of (2018) Neural Ordinary Differential Equations on Keras☆65Updated 6 years ago
- safemutations☆145Updated 7 years ago
- Python library for Bayesian hyper-parameters optimization☆90Updated 6 years ago
- A fast Evolution Strategy implementation in Python☆274Updated 4 years ago
- Hyperparameter tuning for machine learning models using a distributed genetic algorithm☆88Updated 6 months ago
- 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
- Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.☆57Updated 7 years ago
- https://moalquraishi.wordpress.com/2018/12/09/alphafold-casp13-what-just-happened/☆50Updated 6 years ago
- A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm☆106Updated 8 months ago
- Genetic neural architecture search with Keras☆950Updated last year
- Evolving deep neural network agents using Genetic Algorithms☆67Updated 6 years ago
- ☆254Updated 3 years ago
- Neural Ordinary Differential Equation☆101Updated 6 years ago