jaberg / hyperoptLinks
Distributed Asynchronous Hyperparameter Optimization in Python
☆514Updated 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…☆1,395Updated 8 years ago
- auto-tuning momentum SGD optimizer☆424Updated 7 years ago
- A python wrapper for Barnes-Hut tsne☆411Updated 2 years ago
- Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data☆505Updated 3 years ago
- Python binding for Microsoft LightGBM☆345Updated 6 years ago
- Spearmint Bayesian optimization codebase☆1,561Updated 5 years ago
- ☆680Updated 7 years ago
- optimization routines for hyperparameter tuning☆423Updated last year
- Implementation of some deep learning algorithms.☆896Updated 11 years ago
- Ladder network is a deep learning algorithm that combines supervised and unsupervised learning☆518Updated 8 years ago
- RoBO: a Robust Bayesian Optimization framework☆490Updated 6 years ago
- Multi-core implementation of Regularized Greedy Forest☆466Updated 7 years ago
- Practical Examples for RNNs in Tensorflow☆482Updated 9 years ago
- Stanford Unsupervised Feature Learning and Deep Learning Tutorial☆695Updated 11 years ago
- Restricted Boltzmann Machines in Python.☆968Updated 5 years ago
- Lattice methods in TensorFlow☆519Updated last year
- Tuning hyperparams fast with Hyperband☆595Updated 7 years ago
- Tensorflow implementation for DilatedRNN☆352Updated 8 years ago
- 💬 Slides and supplementary codes for my talk 'Debugging Tips on TensorFlow' (2016)☆609Updated 8 years ago
- Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.☆266Updated 6 years ago
- A tensorflow implementation of an HMM layer☆284Updated 7 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆380Updated 8 years ago
- Language Model GRU with Python and Theano☆501Updated 9 years ago
- Tensorflow tutorial of building different dynamic recurrent neural network☆500Updated 7 years ago
- Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon☆451Updated last month
- Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.☆174Updated 6 years ago
- Python implementation of deep forest method : gcForest☆424Updated 7 years ago
- An on going implementation of the gcForest algorithm☆197Updated 3 years ago
- Winning solution for the National Data Science Bowl competition on Kaggle (plankton classification)☆567Updated 10 years ago
- A simple Tensorflow based library for deep and/or denoising AutoEncoder.☆149Updated 7 years ago