PetraVidnerova / GAKeras
Genetic algorithm to optimize Keras Sequential model
☆21Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for GAKeras
- Fast Correlation-Based Feature Selection☆29Updated 7 years ago
- Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration☆79Updated 7 years ago
- ☆74Updated 5 years ago
- Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.☆57Updated 6 years ago
- Code examples for https://blog.floydhub.com/guide-to-hyperparameters-search-for-deep-learning-models/☆11Updated 5 years ago
- Python implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in …☆9Updated 7 years ago
- A Python library of biclustering algorithms, evaluation measures and datasets.☆51Updated 4 years ago
- python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.☆125Updated 4 years ago
- Tutorial on cost-sensitive boosting and calibrated AdaMEC.☆26Updated 7 years ago
- Bayesian optimization☆37Updated 4 years ago
- Matlab implementation of TCK☆12Updated 5 years ago
- Sparse-input neural networks☆22Updated last year
- Hyperparameter tuning for machine learning models using a distributed genetic algorithm☆85Updated last month
- Probabilistic Principal Component Analysis☆59Updated 7 years ago
- Deep Feature Selection using Teacher Student Network☆43Updated 5 years ago
- ⏸ Parallelized hyper-param optimization with validation set, not crossval☆89Updated 2 years ago
- Python3 binding to mRMR Feature Selection algorithm (currently not maintained)☆138Updated this week
- A scikit-learn compatible implementation of hyperband☆75Updated 5 years ago
- Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)☆55Updated 6 years ago
- A Cython Machine Learning library dedicated to Hidden Markov Models☆34Updated last year
- ☆45Updated 4 years ago
- Keras framework for autocovariance-based dimensionality reduction of time series data with deep neural networks.☆31Updated 6 years ago
- Reproducing the results of the paper "Bayesian Recurrent Neural Networks" by Fortunato et al.☆40Updated 6 years ago
- Python 3.6+ (only)☆109Updated 5 years ago
- ☆69Updated 4 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 5 years ago
- a feature engineering wrapper for sklearn☆51Updated 4 years ago
- Deep Continuous Quantile Regression and other experiments.☆12Updated 4 years ago
- Implementation of linear CorEx and temporal CorEx.☆36Updated 3 years ago