jaberg / hyperoptLinks
Distributed Asynchronous Hyperparameter Optimization in Python
☆515Updated 11 years ago
Alternatives and similar repositories for hyperopt
Users that are interested in hyperopt 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…☆1,394Updated 8 years ago
- auto-tuning momentum SGD optimizer☆424Updated 7 years ago
- Spearmint Bayesian optimization codebase☆1,560Updated 5 years ago
- Implementation of some deep learning algorithms.☆897Updated 11 years ago
- Restricted Boltzmann Machines in Python.☆968Updated 5 years ago
- Ladder network is a deep learning algorithm that combines supervised and unsupervised learning☆518Updated 8 years ago
- optimization routines for hyperparameter tuning☆423Updated last year
- ☆677Updated 7 years ago
- Multi-core implementation of Regularized Greedy Forest☆466Updated 7 years ago
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆504Updated 3 years ago
- Python binding for Microsoft LightGBM☆345Updated 6 years ago
- Bayesian Python: Bayesian inference tools for Python☆698Updated last month
- RoBO: a Robust Bayesian Optimization framework☆488Updated 6 years ago
- Language Model GRU with Python and Theano☆500Updated 9 years ago
- Practical Examples for RNNs in Tensorflow☆482Updated 9 years ago
- A python wrapper for Barnes-Hut tsne☆411Updated 2 years ago
- Tuning hyperparams fast with Hyperband☆594Updated 7 years ago
- Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon☆452Updated this week
- Simple structured learning framework for python☆669Updated 3 years ago
- Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)☆567Updated 10 years ago
- Framework for building complex recurrent neural networks with Keras☆764Updated 2 years ago
- Lattice methods in TensorFlow☆519Updated last year
- Code for Mondrian Forests (for classification and regression)☆267Updated 9 years ago
- Stanford Unsupervised Feature Learning and Deep Learning Tutorial☆694Updated 11 years ago
- Bayesian Machine Learning☆209Updated 3 years ago
- Demonstration of recurrent neural network implemented with Theano☆376Updated 8 years ago
- My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.☆440Updated 9 years ago
- Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm☆402Updated 5 years ago
- Implementation of a Variational Auto-Encoder in Theano☆381Updated 8 years ago
- Ready to use implementations of various Deep Learning algorithms using TensorFlow.☆961Updated 7 years ago