Building random forests on GPU
☆206May 21, 2017Updated 9 years ago
Alternatives and similar repositories for CudaTree
Users that are interested in CudaTree are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A quick educational implementation of a random forest classifier and a decsion jungle classifier.☆28Mar 11, 2015Updated 11 years ago
- Python implementation of a random forest for use with continuous value attributes☆59Aug 19, 2017Updated 8 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆151Mar 5, 2021Updated 5 years ago
- Random Forest - a curated list of resources regarding random forest☆1,248Nov 16, 2023Updated 2 years ago
- Python interface to GPU-powered libraries☆987Oct 15, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This is a very efficient Random Forests implementation for MATLAB based on low level "cart" tree implementation.☆14Jul 20, 2018Updated 7 years ago
- Adaptative Hybrid Extreme Rotation Forest (AdaHERF)☆33May 3, 2016Updated 10 years ago
- modular implementation of new algorithm☆13Jun 4, 2014Updated 12 years ago
- Randomized Decision Trees: A Fast C++ Implementation of Random Forests.☆180Aug 16, 2020Updated 5 years ago
- A CUDA implementation of the ZeroOut tensorflow custom op, just for fun☆11Feb 1, 2017Updated 9 years ago
- My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)☆82Sep 23, 2014Updated 11 years ago
- cuda implementation of CBOW model (word2vec)☆116Dec 26, 2013Updated 12 years ago
- ☆11Oct 10, 2017Updated 8 years ago
- ☆30Jul 15, 2016Updated 9 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A LibSVM wrapper for Clojure☆33Dec 19, 2019Updated 6 years ago
- Python module for performing basic dense linear algebra computations on the GPU using CUDA.☆610May 28, 2020Updated 6 years ago
- Common Python library, especially for text processing and controlling experimental runs☆42Mar 27, 2013Updated 13 years ago
- more composable than other neural network libraries☆42Aug 11, 2016Updated 9 years ago
- Code for Mondrian Forests (for classification and regression)☆270Jun 1, 2016Updated 10 years ago
- Stochastic Gradient Boosted Decision Trees as Standalone, TMVAPlugin and Python-Interface☆248Jul 19, 2020Updated 5 years ago
- Data mining project to predict stock prices on basis of sentiments.☆11Apr 2, 2016Updated 10 years ago
- Second-ranked solution to the Kaggle "Flavours of Physics" competition☆25Dec 10, 2015Updated 10 years ago
- GPU accelerated Deep Belief Network☆47May 22, 2015Updated 11 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- GPU-Accelerated Deep Learning Library in Python☆1,170Dec 29, 2020Updated 5 years ago
- Using MRFs and CRFs for computer vision problems.☆21Feb 17, 2015Updated 11 years ago
- Stochastic Dummy Boosting☆25Mar 9, 2016Updated 10 years ago
- Course in Natural Language Processing and Applications☆10Oct 4, 2022Updated 3 years ago
- R script for Otto Group Production Classification on Kaggle☆30Dec 11, 2015Updated 10 years ago
- QPBO interface and alpha expansion for Python☆24Nov 3, 2022Updated 3 years ago
- A re-implementation of emcee in rust☆12Jun 15, 2019Updated 6 years ago
- Self-Organizing Map for unsupervised feature engineering and dimensionality reduction☆21Jan 21, 2013Updated 13 years ago
- ☆16Nov 27, 2016Updated 9 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Solution to the Higgs Boson Machine Learning Challenge on Kaggle☆32Sep 16, 2014Updated 11 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆25Jun 3, 2016Updated 10 years ago
- Language Modeling with Sum-Product Networks☆20Jul 29, 2014Updated 11 years ago
- Deep metric learning using Triplet network☆187May 8, 2017Updated 9 years ago
- Exponential Machines implementation☆43Mar 4, 2025Updated last year
- My second place solution to the Higgs Boson Machine Learning Challenge☆86Dec 2, 2014Updated 11 years ago
- kaggle walmart-recruiting-sales-in-stormy-weather☆48May 30, 2015Updated 11 years ago