HIPS / Spearmint
Spearmint Bayesian optimization codebase
☆1,555Updated 5 years ago
Alternatives and similar repositories for Spearmint:
Users that are interested in Spearmint are comparing it to the libraries listed below
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,394Updated 7 years ago
- Gaussian Process Optimization using GPy☆942Updated 2 years ago
- A global, black box optimization engine for real world metric optimization.☆1,311Updated 2 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,763Updated last year
- Bayesian Python: Bayesian inference tools for Python☆697Updated 5 months ago
- RoBO: a Robust Bayesian Optimization framework☆485Updated 5 years ago
- Gaussian processes in TensorFlow☆1,866Updated last month
- Distributed Asynchronous Hyperparameter Optimization in Python☆513Updated 11 years ago
- Gaussian processes framework in python☆2,082Updated 2 months ago
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆880Updated 4 years ago
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,836Updated last year
- Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python…☆1,133Updated 3 years ago
- BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.☆405Updated 2 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆517Updated 3 years ago
- Hyper-parameter optimization for sklearn☆1,610Updated 9 months ago
- Tuning hyperparams fast with Hyperband☆593Updated 6 years ago
- Bayesian Optimization using GPflow☆271Updated 4 years ago
- optimization routines for hyperparameter tuning☆418Updated last year
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆773Updated last year
- Combines the ease of use of scikit-learn with the power of Theano/Lasagne☆951Updated last year
- A Theano framework for building and training neural networks☆1,156Updated 6 years ago
- Render probabilistic graphical models using matplotlib☆677Updated this week
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,369Updated last month
- NumPy interface with mixed backend execution☆1,105Updated 7 years ago
- Fast Randomized PCA/SVD☆494Updated 5 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆886Updated 10 months ago
- Python code for bayesian optimization using Gaussian processes☆311Updated 8 years ago
- Computation Graph Toolkit☆633Updated 6 years ago
- Simple structured learning framework for python☆665Updated 3 years ago
- Bayesian optimization in PyTorch☆3,199Updated this week