shibuiwilliam / keras_gpyoptLinks
Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.
☆57Updated 7 years ago
Alternatives and similar repositories for keras_gpyopt
Users that are interested in keras_gpyopt are comparing it to the libraries listed below
Sorting:
- Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…☆144Updated 2 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 7 years ago
- ☆74Updated 6 years ago
- Deep Embedding Clustering in Keras☆130Updated 8 years ago
- Python library for Bayesian hyper-parameters optimization☆90Updated 6 years ago
- Tensorflow 1.X implementation of Restricted Boltzman Machine(RBM) and Autoencoder with layerwise pretraining.☆83Updated 4 years ago
- Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…☆107Updated 7 years ago
- Collection of autoencoders written in Keras☆37Updated 8 years ago
- Miltiplicative LSTM for Keras 2.0+☆42Updated 7 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆100Updated 9 years ago
- Tools for loading standard data sets in machine learning☆203Updated 2 years ago
- Autoencoders in Keras☆126Updated 7 years ago
- Variational Autoencoder for Dimensionality Reduction of Time-Series☆188Updated 3 years ago
- Library for machine learning stacking generalization.☆117Updated 6 years ago
- Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.☆266Updated 6 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 7 years ago
- Keras callback example☆56Updated 7 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 7 years ago
- A Keras-based library for analysis of time series data using deep learning algorithms.☆117Updated 7 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- Autoencoder model for rare event classification☆105Updated 5 years ago
- Keras implementation of Nested LSTMs☆88Updated 6 years ago
- An improved implementation of the classical feature selection method: minimum Redundancy and Maximum Relevance (mRMR).☆83Updated 3 years ago
- A scikit-learn compatible implementation of hyperband☆76Updated 5 years ago
- Snapshot Ensemble in Keras☆308Updated 7 years ago
- Dilated RNNs in pytorch☆212Updated 5 years ago
- Bayesian optimization for Python☆246Updated 3 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆67Updated last year