shibuiwilliam / keras_gpyopt
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
- 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
- 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
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 7 years ago
- Python library for Bayesian hyper-parameters optimization☆90Updated 6 years ago
- a python implementation of Parametric t-SNE in Keras☆60Updated 6 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆67Updated 10 months ago
- Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.☆266Updated 5 years ago
- Bayesian optimization for Python☆244Updated 3 years ago
- Tools for loading standard data sets in machine learning☆203Updated 2 years ago
- Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).☆59Updated 13 years ago
- Collection of autoencoders written in Keras☆37Updated 8 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Variational Autoencoder for Dimensionality Reduction of Time-Series☆186Updated 2 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated 8 months ago
- Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]☆144Updated 4 years ago
- MNIST Digit Classification Using Stacked Autoencoder And TensorFlow☆154Updated 2 years ago
- Keras autoencoders (convolutional/fcc) [proof of concept]☆175Updated 5 years ago
- Keras implementation of Nested LSTMs☆88Updated 6 years ago
- Implementation of IndRNN in Keras☆67Updated 4 years ago
- Autoencoders in Keras☆126Updated 7 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆48Updated 8 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 7 years ago
- Several implementations of the kernel-based activation functions☆61Updated 5 years ago
- Implementing Bayes by Backprop☆183Updated 6 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆98Updated 8 years ago
- AdaGAN: greedy iterative procedure to train mixtures of GANs☆76Updated 7 years ago
- FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals☆156Updated 7 years ago