Alternatives and similar repositories for CudaTree:

Users that are interested in CudaTree are comparing it to the libraries listed below

• davmre / elbow
  Flexible Bayesian inference using TensorFlow
  ☆143Updated 8 years ago
• automl / HPOlib
  HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…
  ☆166Updated 6 years ago
• thomaskeck / FastBDT
  Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface
  ☆246Updated 4 years ago
• dmlc / mxnet-gtc-tutorial
  MXNet Tutorial for NVidia GTC 2016.
  ☆130Updated 9 years ago
• MLWave / hodor-autoML
  Hodor AutoML: Brute-Bandit fast good-enough solutions to a wide range of machine learning problems.
  ☆83Updated 9 years ago
• sklearn-theano / sklearn-theano
  Scikit-learn compatible tools using theano
  ☆363Updated 8 years ago
• 317070 / kaggle-heart
  ☆157Updated 9 years ago
• chrischoy / fully-differentiable-deep-ndf-tf
  Fully differentiable deep-neural decision forest in tensorflow
  ☆229Updated 7 years ago
• balajiln / mondrianforest
  Code for Mondrian Forests (for classification and regression)
  ☆265Updated 8 years ago
• dblN / stochastic_depth_keras
  Keras implementation for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382
  ☆139Updated 4 years ago
• mila-iqia / platoon
  Multi-GPU mini-framework for Theano
  ☆195Updated 7 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 8 years ago
• dclambert / pyensemble
  An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
  ☆151Updated 4 years ago
• hannes-brt / cudnn-python-wrappers
  Python wrappers for the NVIDIA cuDNN libraries
  ☆140Updated 7 years ago
• opveclib / opveclib
  The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…
  ☆68Updated 8 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆184Updated 6 years ago
• leopiney / deep-forest
  An on going implementation of the gcForest algorithm
  ☆196Updated 2 years ago
• log0 / vertebral
  Demonstration of the effect of synthetic features on linear models
  ☆79Updated 11 years ago
• kuz / caffe-with-spearmint
  Automatic Caffe parameter search via Spearmint Bayesian optimisation
  ☆96Updated 9 years ago
• lukovkin / ufcnn-keras
  Implementation of UFCNN in Keras
  ☆93Updated 8 years ago
• simaaron / kaggle-Rain
  Winning solution to the Kaggle competition - How Much Did It Rain? II
  ☆155Updated 9 years ago
• ferrine / gelato
  Bayesian dessert for Lasagne
  ☆84Updated 7 years ago
• ajtulloch / sklearn-compiledtrees
  Compiled Decision Trees for scikit-learn
  ☆224Updated 11 months ago
• Alexey-Kamenev / Benchmarks
  Benchmarks for CNTK and other toolkits.
  ☆44Updated 9 years ago
• glample / rnn-benchmarks
  Benchmarks for several RNN variations with different deep-learning frameworks
  ☆169Updated 5 years ago
• HIPS / hypergrad
  Exploring differentiation with respect to hyperparameters
  ☆294Updated 9 years ago
• negrinho / deep_architect_legacy
  DeepArchitect: Automatically Designing and Training Deep Architectures
  ☆145Updated 5 years ago
• mokelly / wabbit_wappa
  Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.
  ☆101Updated 7 years ago
• FlorianMuellerklein / Identity-Mapping-ResNet-Lasagne
  Reproduction of some of the results from 'Identity Mappings in Deep Residual Networks'
  ☆72Updated 8 years ago
• bigaidream-projects / drmad
  DrMAD
  ☆107Updated 7 years ago