ajtulloch / sklearn-compiledtrees
Compiled Decision Trees for scikit-learn
☆224Updated 9 months ago
Alternatives and similar repositories for sklearn-compiledtrees:
Users that are interested in sklearn-compiledtrees are comparing it to the libraries listed below
- Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.☆101Updated 7 years ago
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆240Updated 6 years ago
- ☆190Updated last year
- Unified interface for local and distributed ndarrays☆157Updated 6 years ago
- A library that allows serialization of SciKit-Learn estimators into PMML☆70Updated 5 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
- ☆212Updated 8 years ago
- Scikit-learn compatible tools using theano☆363Updated 8 years ago
- Kayak is a library for automatic differentiation with applications to deep neural networks.☆227Updated 7 years ago
- Bayesian supervised learning in Python☆21Updated 9 years ago
- A new version of phraug, which is a set of simple Python scripts for pre-processing large files☆206Updated 6 years ago
- Autoencoders to find structure in arbitrary datasets☆123Updated 9 years ago
- SigOpt wrappers for scikit-learn methods☆75Updated last year
- PyData Seattle 2015: Python Data Bikeshed☆127Updated 9 years ago
- Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface☆246Updated 4 years ago
- Density Based Clustering (DeBaCl) Toolbox☆101Updated 4 years ago
- lightweight python wrapper for vowpal wabbit☆167Updated 5 years ago
- Efficient distributed hyperparameter search library written in Python.☆75Updated 6 years ago
- Flexible Bayesian inference using TensorFlow☆143Updated 8 years ago
- Python forecasting and smoothing library☆67Updated 5 years ago
- Distributed Numpy☆148Updated 7 years ago
- Creates models to classify documents into categories☆66Updated 7 years ago
- optimization routines for hyperparameter tuning☆418Updated last year
- Some small utility modules to help with pandas, numpy and sklearn usage in other projects☆183Updated last year
- Python exposure of dynd☆120Updated 2 years ago
- Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning☆295Updated 8 years ago
- Bayesian dessert for Lasagne☆84Updated 7 years ago
- It is a forest of random projection trees☆223Updated 5 years ago
- A global, black box optimization engine for real world metric optimization.☆66Updated 10 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆184Updated 6 years ago