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:
- ☆54Updated 7 years ago
- a lightweight implementation of Cartesian genetic programming with symbolic regression in mind.☆23Updated 5 years ago
- A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)☆76Updated last year
- Weight Agnostic Neural Networks (in Python)☆18Updated 6 years ago
- Neuroevolution as a direct policy search deep reinforcement learning method, implemented using Keras and DEAP.☆71Updated 4 years ago
- Implementation, configuration files, and parsing scripts for the Analysis of Cartesian Genetic Programming’s Evolutionary Mechanisms publ…☆19Updated 10 years ago
- Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search (ICML 2018)☆72Updated 6 years ago
- Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.☆13Updated 2 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- ☆13Updated 6 years ago
- This is the official implementation for the paper 'AutoEncoder by Forest'☆75Updated 7 years ago
- Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906☆49Updated 5 years ago
- Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…☆35Updated 6 years ago
- Distributed implementation of popular evolutionary methods☆64Updated 7 years ago
- A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)☆47Updated 5 years ago
- Code for my blog post "Design by Evolution"☆21Updated 7 years ago
- Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017☆41Updated 7 years ago
- Switch Normalization implementation for Keras 2+☆30Updated 6 years ago
- Keras Implementation of SparseNets☆23Updated 7 years ago
- Deep Reinforcement Learning with Fined Grained Action Repetition☆23Updated 7 years ago
- Wide Residual Networks implemented in TensorLayer and TensorFlow.☆44Updated 8 years ago
- Evolution Strategy Library☆55Updated 5 years ago
- ☆10Updated 6 years ago
- An implementation of CoDeepNEAT using pytorch with extensions☆32Updated 4 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods☆52Updated 9 months ago
- Deep neural architecture research framework☆12Updated 2 years ago
- A collection of black-box optimizers with a focus on evolutionary algorithms☆27Updated 5 years ago
- ☆71Updated 5 years ago
- Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras☆31Updated 9 years ago