maxim5 / hyper-engine
Python library for Bayesian hyper-parameters optimization
☆88Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for hyper-engine
- Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.☆57Updated 6 years ago
- A scikit-learn compatible implementation of hyperband☆75Updated 5 years ago
- simple python interface to SMAC.☆21Updated 6 years ago
- Improved TabNet for TensorFlow☆51Updated 2 years ago
- ☆69Updated 4 years ago
- Better, faster hyper-parameter optimization☆111Updated 10 months ago
- keras implementation of AdamW from Fixing Weight Decay Regularization in Adam (https://arxiv.org/abs/1711.05101)☆70Updated 6 years ago
- Population Based Training of Neural Network implemented in Keras☆34Updated last year
- A simple, extensible library for developing AutoML systems☆173Updated last year
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆67Updated 5 months 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 feature engineering wrapper for sklearn☆51Updated 4 years ago
- A fully decentralized hyperparameter optimization framework☆121Updated 4 months ago
- Multi-GPU data-parallel training in Keras☆77Updated 6 years ago
- Bayesian optimization for Python☆241Updated 2 years ago
- ☆74Updated 5 years ago
- Experimental Gradient Boosting Machines in Python with numba.☆183Updated 5 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆133Updated 5 years ago
- Snapshot Ensemble in Keras☆305Updated 7 years ago
- Missing Data Imputation Python Library☆35Updated 5 years ago
- Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers☆167Updated 2 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆48Updated 7 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆126Updated last year
- Tools for loading standard data sets in machine learning☆202Updated 2 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆150Updated 3 years ago
- Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440☆35Updated 6 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 4 years ago
- Implementing Bayes by Backprop☆182Updated 5 years ago
- ⏸ Parallelized hyper-param optimization with validation set, not crossval☆89Updated 2 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆114Updated 7 years ago