jaberg / hyperoptLinks
Distributed Asynchronous Hyperparameter Optimization in Python
☆513Updated 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…☆1,392Updated 7 years ago
- auto-tuning momentum SGD optimizer☆424Updated 7 years ago
- Spearmint Bayesian optimization codebase☆1,561Updated 5 years ago
- optimization routines for hyperparameter tuning☆421Updated last year
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆503Updated 3 years ago
- RoBO: a Robust Bayesian Optimization framework☆485Updated 6 years ago
- Ladder network is a deep learning algorithm that combines supervised and unsupervised learning☆517Updated 7 years ago
- Multi-core implementation of Regularized Greedy Forest☆465Updated 7 years ago
- Python binding for Microsoft LightGBM☆343Updated 6 years ago
- Tensorflow tutorial of building different dynamic recurrent neural network☆500Updated 7 years ago
- Lattice methods in TensorFlow☆520Updated 11 months ago
- A tensorflow implementation of an HMM layer☆285Updated 7 years ago
- Implementation of some deep learning algorithms.☆896Updated 11 years ago
- ☆675Updated 6 years ago
- A python wrapper for Barnes-Hut tsne☆410Updated 2 years ago
- Tuning hyperparams fast with Hyperband☆594Updated 6 years ago
- Stanford Unsupervised Feature Learning and Deep Learning Tutorial☆693Updated 11 years ago
- 💬 Slides and supplementary codes for my talk 'Debugging Tips on TensorFlow' (2016)☆610Updated 8 years ago
- "Neural Turing Machine" in Tensorflow☆1,046Updated 8 years ago
- Practical Examples for RNNs in Tensorflow☆483Updated 8 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆378Updated 8 years ago
- Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.☆266Updated 6 years ago
- Bayesian Python: Bayesian inference tools for Python☆698Updated 8 months ago
- NumPy interface with mixed backend execution☆1,103Updated 7 years ago
- Language Model GRU with Python and Theano☆501Updated 9 years ago
- A tutorial on the t-SNE learning algorithm☆719Updated 8 years ago
- Implementation of a Variational Auto-Encoder in Theano☆380Updated 8 years ago
- Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.☆173Updated 6 years ago
- A global, black box optimization engine for real world metric optimization.☆1,316Updated 2 years ago
- Random notes on papers, likely a short-term repo.☆674Updated 8 years ago