HIPS / Spearmint
Spearmint Bayesian optimization codebase
☆1,544Updated 4 years ago
Related projects: ⓘ
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,388Updated 7 years ago
- Gaussian Process Optimization using GPy☆927Updated last year
- A global, black box optimization engine for real world metric optimization.☆1,305Updated last year
- Gaussian processes in TensorFlow☆1,830Updated last month
- Gaussian processes framework in python☆2,011Updated 2 weeks ago
- RoBO: a Robust Bayesian Optimization framework☆482Updated 5 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,740Updated 6 months ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,830Updated 6 months ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆511Updated 10 years ago
- Tuning hyperparams fast with Hyperband☆591Updated 6 years ago
- Bayesian Optimization using GPflow☆270Updated 3 years ago
- optimization routines for hyperparameter tuning☆414Updated 9 months ago
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,063Updated last week
- NumPy interface with mixed backend execution☆1,109Updated 6 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆513Updated 2 years ago
- Bayesian Python: Bayesian inference tools for Python☆686Updated 2 weeks ago
- Hyper-parameter optimization for sklearn☆1,580Updated 3 months ago
- BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.☆397Updated last year
- Fast, flexible and easy to use probabilistic modelling in Python.☆3,348Updated 2 months ago
- A Theano framework for building and training neural networks☆1,156Updated 5 years ago
- Bayesian optimization in PyTorch☆3,060Updated this week
- Lattice methods in TensorFlow☆518Updated last month
- Tutorials and implementations for "Self-normalizing networks"☆1,580Updated 2 years ago
- Computation Graph Toolkit☆628Updated 6 years ago
- A data pipeline framework for machine learning☆867Updated last year
- Python code for bayesian optimization using Gaussian processes☆307Updated 7 years ago
- Simple structured learning framework for python☆665Updated 2 years ago
- Combines the ease of use of scikit-learn with the power of Theano/Lasagne☆948Updated last year
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,200Updated last month
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆879Updated 4 years ago