HIPS / SpearmintLinks
Spearmint Bayesian optimization codebase
☆1,560Updated 5 years ago
Alternatives and similar repositories for Spearmint
Users that are interested in Spearmint are comparing it to the libraries listed below
Sorting:
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,395Updated 8 years ago
- A global, black box optimization engine for real world metric optimization.☆1,319Updated 2 years ago
- Gaussian Process Optimization using GPy☆948Updated 2 years ago
- RoBO: a Robust Bayesian Optimization framework☆491Updated 6 years ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆516Updated 11 years ago
- Gaussian processes in TensorFlow☆1,888Updated 4 months ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,837Updated last year
- Bayesian Python: Bayesian inference tools for Python☆698Updated 2 months ago
- Tuning hyperparams fast with Hyperband☆594Updated 7 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,794Updated last year
- Gaussian processes framework in python☆2,116Updated 3 months ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.☆418Updated 2 years ago
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆877Updated 5 years ago
- optimization routines for hyperparameter tuning☆423Updated last year
- Python package for Bayesian Machine Learning with scikit-learn API☆521Updated 4 years ago
- Render probabilistic graphical models using matplotlib☆682Updated this week
- Fast Randomized PCA/SVD☆497Updated 6 years ago
- A data pipeline framework for machine learning☆872Updated 2 years ago
- a distributed Hyperband implementation on Steroids☆621Updated 2 years ago
- NumPy interface with mixed backend execution☆1,103Updated 7 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆891Updated last year
- A Theano framework for building and training neural networks☆1,156Updated 6 years ago
- Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python…☆1,134Updated 4 years ago
- SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization☆1,197Updated last week
- Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization☆2,177Updated 2 years ago
- PyStan, the Python interface to Stan☆927Updated 4 years ago
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆774Updated last year
- Ladder network is a deep learning algorithm that combines supervised and unsupervised learning☆518Updated 8 years ago
- Hyper-parameter optimization for sklearn☆1,644Updated 5 months ago