maxim5 / hyper-engine
Python library for Bayesian hyper-parameters optimization
☆89Updated 6 years ago
Alternatives and similar repositories for hyper-engine:
Users that are interested in hyper-engine are comparing it to the libraries listed below
- Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.☆57Updated 6 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…☆144Updated last year
- A scikit-learn compatible implementation of hyperband☆75Updated 5 years ago
- Population Based Training (in PyTorch with sqlite3). Status: Unsupported☆165Updated 6 years ago
- a feature engineering wrapper for sklearn☆51Updated 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…☆106Updated 6 years ago
- ☆209Updated 6 years ago
- Population Based Training of Neural Network implemented in Keras☆34Updated last year
- ☆69Updated 4 years ago
- simple python interface to SMAC.☆21Updated 6 years ago
- A fully decentralized hyperparameter optimization framework☆121Updated 6 months ago
- a python implementation of Parametric t-SNE in Keras☆60Updated 6 years ago
- A Keras-based library for analysis of time series data using deep learning algorithms.☆117Updated 6 years ago
- Feeding images of time series to Conv Nets! (Tensorflow + Keras)☆49Updated 7 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 5 years ago
- ☆74Updated 6 years ago
- Multi-GPU data-parallel training in Keras☆77Updated 7 years ago
- Plugging TensorBoard in an autoencoder on the MNIST dataset for demonstrating t-SNE embeddings visualization of unsupervised machine lear…☆71Updated 6 years ago
- Keras implementation of Nested LSTMs☆89Updated 6 years ago
- Multiple imputation utilising denoising autoencoder for approximate Bayesian inference☆119Updated 4 years ago
- Preparing continuous features for neural networks with GaussRank☆45Updated 6 years ago
- Probabilistic Multivariate Time Series Forecast using Deep Learning☆95Updated 5 years ago
- ☆115Updated last year
- Fast Differentiable Forest lib with the advantages of both decision trees and neural networks☆78Updated 3 years ago
- Library for machine learning stacking generalization.☆117Updated 5 years ago
- Experimental Gradient Boosting Machines in Python with numba.☆183Updated 6 years ago
- Implementation in Keras of: Snapshot Ensembles: Train 1, get M for free (https://arxiv.org/abs/1704.00109)☆25Updated 6 years ago
- State space modeling with recurrent neural networks☆43Updated 6 years ago
- Better, faster hyper-parameter optimization☆112Updated last year
- Hyperparameter optimization for neural networks☆47Updated 11 years ago