genixpro / hypermaxLinks
Better, faster hyper-parameter optimization
☆113Updated 2 years ago
Alternatives and similar repositories for hypermax
Users that are interested in hypermax are comparing it to the libraries listed below
Sorting:
- Experimental Gradient Boosting Machines in Python with numba.☆189Updated 7 years ago
- A simple, extensible library for developing AutoML systems☆175Updated 2 years ago
- ⏸ Parallelized hyper-param optimization with validation set, not crossval☆91Updated 3 years ago
- ☆69Updated 5 years ago
- Parameter Importance Analysis Tool☆77Updated 4 years ago
- A fully decentralized hyperparameter optimization framework☆124Updated last year
- A scikit-learn compatible implementation of hyperband☆77Updated 6 years ago
- Bayesian optimization for Python☆246Updated 3 years ago
- A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.☆126Updated 7 months ago
- A toolset for black-box hyperparameter optimisation.☆136Updated 6 years ago
- Automatic differentiation + optimization☆101Updated 6 years ago
- A user-centered Python package for differentiable probabilistic inference☆203Updated 5 years ago
- DeepSuperLearner - Python implementation of the deep ensemble algorithm☆135Updated 7 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆183Updated 7 years ago
- Streamlined machine learning experiment management.☆108Updated 5 years ago
- a feature engineering wrapper for sklearn☆52Updated 5 years ago
- Extension of the awesome XGBoost to linear models at the leaves☆83Updated 6 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Updated 4 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- Black box hyperparameter optimization made easy.☆77Updated 2 years ago
- Simple Python interface for the SigOpt API☆71Updated 3 months ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Preparing continuous features for neural networks with GaussRank☆45Updated 8 years ago
- General Interpretability Package☆58Updated 3 years ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 8 years ago
- Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.☆344Updated 5 years ago
- A garden for scikit-learn compatible trees☆288Updated last year
- Fill missing values in Pandas DataFrames using Restricted Boltzmann Machines☆24Updated 5 years ago
- ☆70Updated 5 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆68Updated last year