scheckmedia / cgp-cnn-designLinks
Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture
☆25Updated 7 years ago
Alternatives and similar repositories for cgp-cnn-design
Users that are interested in cgp-cnn-design are comparing it to the libraries listed below
Sorting:
- CNN architecture exploration using Genetic Algorithm☆221Updated 3 years ago
- A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)☆76Updated last year
- ☆50Updated 6 years ago
- A general, modular, and programmable architecture search framework☆124Updated 2 years ago
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906☆49Updated 5 years ago
- Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017☆41Updated 7 years ago
- A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)☆47Updated 5 years ago
- Keras implementation of Efficient Neural Architecture Search☆91Updated 7 years ago
- Evolution Strategy Library☆55Updated 5 years ago
- Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy…☆61Updated 6 years ago
- Rapid hyperparameter discovery for neural nets using genetic algorithms☆183Updated 4 years ago
- Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search☆109Updated 2 years ago
- Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.☆71Updated 4 years ago
- Population Based Training (in PyTorch with sqlite3). Status: Unsupported☆162Updated 7 years ago
- The genetic neural architecture search (GeneticNAS) is a neural architecture search method that is based on genetic algorithm which utili…☆29Updated 6 years ago
- Weight Agnostic Neural Networks (in Python)☆18Updated 6 years ago
- Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)☆55Updated 6 years ago
- One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH☆74Updated 7 years ago
- Implementation of Progressive Neural Architecture Search in Keras and Tensorflow☆118Updated 6 years ago
- Code for my blog post "Design by Evolution"☆21Updated 7 years ago
- Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search (ICML 2018)☆72Updated 7 years ago
- The Evolutionary eXploration of Neural Networks Framework -- EXAMM, EXA-GP and EXACT☆59Updated last week
- Implementation of IndRNN in Keras☆67Updated 5 years ago
- This code is for running enas on nni.☆25Updated 6 years ago
- A curated list of AutoML papers/tutorials/slides etc.☆92Updated 6 years ago
- Pytorch implementation of the DeepDream computer vision algorithm☆102Updated 5 years ago
- This is the official implementation for the paper 'AutoEncoder by Forest'☆75Updated 7 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆135Updated 6 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 8 years ago
- ☆10Updated 6 years ago