EasonLiao / CudaTree
Building random forests on GPU
☆205Updated 7 years ago
Alternatives and similar repositories for CudaTree:
Users that are interested in CudaTree are comparing it to the libraries listed below
- HPOlib is a hyperparameter optimization library. It provides a common interface to three state of the art hyperparameter optimization pac…☆166Updated 6 years ago
- Code for Mondrian Forests (for classification and regression)☆265Updated 8 years ago
- ☆76Updated 8 years ago
- Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on MXNet, Theano or TensorFlow.☆124Updated 6 years ago
- Compiled Decision Trees for scikit-learn☆224Updated 10 months ago
- Exploring differentiation with respect to hyperparameters☆294Updated 9 years ago
- Keras implementation for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382☆139Updated 4 years ago
- Fully differentiable deep-neural decision forest in tensorflow☆229Updated 7 years ago
- The best way to get your caffe served!☆68Updated 6 years ago
- Online Random Forests☆89Updated 9 years ago
- simple python interface to SMAC.☆21Updated 6 years ago
- Multi-GPU mini-framework for Theano☆195Updated 7 years ago
- Scikit-learn compatible tools using theano☆363Updated 8 years ago
- Online Multi-Class LPBoost and Gradient Boosting☆68Updated 10 years ago
- Convolutional computer vision architectures that can be tuned by hyperopt.☆70Updated 10 years ago
- The Operator Vectorization Library, or OVL, is a python productivity library for defining high performance custom operators for the Tenso…☆68Updated 8 years ago
- Reproduction of some of the results from 'Identity Mappings in Deep Residual Networks'☆72Updated 8 years ago
- Efficient distributed hyperparameter search library written in Python.☆75Updated 6 years ago
- Benchmarks for CNTK and other toolkits.☆44Updated 9 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆184Updated 6 years ago
- Hyperparameter optimization for neural networks☆47Updated 11 years ago
- Benchmarks for several RNN variations with different deep-learning frameworks☆169Updated 5 years ago
- Flexible Bayesian inference using TensorFlow☆143Updated 8 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆151Updated 4 years ago
- Adding an ipynb tutorial to Lasagne☆53Updated 7 years ago
- Wabbit Wappa is a full-featured Python wrapper for the Vowpal Wabbit machine learning utility.☆101Updated 7 years ago
- more composable than other neural network libraries☆42Updated 8 years ago
- Simple implementation of the LSUV initialization in keras☆67Updated 5 years ago
- 1st place submission to the AutoML competition - phase 2☆28Updated 9 years ago
- ☆57Updated 9 years ago