h2oai / h2o4gpuLinks
H2Oai GPU Edition
☆467Updated 7 months ago
Alternatives and similar repositories for h2o4gpu
Users that are interested in h2o4gpu are comparing it to the libraries listed below
Sorting:
- Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).☆529Updated 5 years ago
- ☆760Updated last year
- Scalable Machine Learning with Dask☆938Updated 3 weeks ago
- Deep Learning in H2O using Native GPU Backends☆282Updated 7 years ago
- H2O.ai Machine Learning Interpretability Resources☆488Updated 4 years ago
- Performance of various open source GBM implementations☆218Updated 11 months ago
- MLBox is a powerful Automated Machine Learning python library.☆1,516Updated last year
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆707Updated 4 years ago
- A simple, extensible library for developing AutoML systems☆175Updated last year
- Data Analysis Baseline Library☆728Updated 5 months ago
- Hyper-parameter optimization for sklearn☆1,629Updated last month
- Presentations from H2O meetups & conferences by the H2O.ai team☆410Updated 2 years ago
- moDel Agnostic Language for Exploration and eXplanation☆1,424Updated 3 months ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆381Updated 3 years ago
- An R package that makes xgboost models fully interpretable☆256Updated 6 years ago
- python partial dependence plot toolbox☆854Updated 9 months ago
- RAPIDS Community Notebooks☆540Updated 3 months ago
- RAPIDS Sample Notebooks☆579Updated last year
- Model analysis tools for TensorFlow☆1,265Updated last month
- A curated list of research, applications and projects built using the H2O Machine Learning platform☆380Updated 2 years ago
- XGBoost Feature Interactions Reshaped☆429Updated 7 years ago
- ThunderGBM: Fast GBDTs and Random Forests on GPUs☆700Updated 2 months ago
- Tuning hyperparams fast with Hyperband☆593Updated 6 years ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆266Updated 10 months ago
- Advanced High Performance Data Science Toolbox for R by Laurae☆205Updated 8 years ago
- Lattice methods in TensorFlow☆518Updated 10 months ago
- ML-Ensemble – high performance ensemble learning☆856Updated last year
- Code for "High-Precision Model-Agnostic Explanations" paper☆803Updated 2 years ago
- [HELP REQUESTED] Generalized Additive Models in Python☆897Updated 11 months ago