sigopt / sigopt-examplesLinks
Optimization Examples with SigOpt
☆200Updated last year
Alternatives and similar repositories for sigopt-examples
Users that are interested in sigopt-examples are comparing it to the libraries listed below
Sorting:
- A new version of phraug, which is a set of simple Python scripts for pre-processing large files☆206Updated 6 years ago
- Hodor AutoML: Brute-Bandit fast good-enough solutions to a wide range of machine learning problems.☆83Updated 9 years ago
- A global, black box optimization engine for real world metric optimization.☆66Updated 10 years ago
- Simple Python interface for the SigOpt API☆70Updated 2 months ago
- SigOpt wrappers for scikit-learn methods☆75Updated last year
- ☆190Updated last year
- Exploring differentiation with respect to hyperparameters☆295Updated 9 years ago
- Winning solution to the Kaggle competition - How Much Did It Rain? II☆155Updated 9 years ago
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Updated 6 years ago
- Efficient distributed hyperparameter search library written in Python.☆75Updated 6 years ago
- Validation and prediction code for numer.ai☆150Updated 7 years ago
- Flexible Bayesian inference using TensorFlow☆143Updated 8 years ago
- Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.☆101Updated 7 years ago
- Reference implementations of neural networks with differentiable memory mechanisms (NTM, Stack RNN, etc.)☆219Updated 9 years ago
- Common interface for Theano, CGT, and TensorFlow☆237Updated 9 years ago
- Second place solution for Facebook V competition on Kaggle☆77Updated 8 years ago
- Just some of my kaggle scripts☆88Updated 10 years ago
- Compiled Decision Trees for scikit-learn☆224Updated last month
- ☆263Updated 5 years ago
- Multi-GPU reinforcement learning using Deep Q-Network in TensorFlow for OpenAI Gym☆182Updated 8 years ago
- Creates models to classify documents into categories☆66Updated 7 years ago
- Introduction tutorials to deep learning with Theano and OpenDeep☆51Updated 9 years ago
- model for prediction challenge at http://numer.ai☆42Updated 8 years ago
- Python implementation of stacked generalization classifier. Plays nice with sklearn.☆71Updated 8 years ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- Modular & extensible deep learning framework built on Theano.☆210Updated 2 years ago
- Kayak is a library for automatic differentiation with applications to deep neural networks.☆228Updated 7 years ago
- Python package for modular Bayesian optimization☆135Updated 4 years ago
- TensorBuilder is a TensorFlow library enables you to easily create complex deep neural networks by leveraging the phi DSL to help define …☆90Updated 8 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆150Updated 4 years ago