szilard / benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
☆1,878Updated 2 years ago
Alternatives and similar repositories for benchm-ml:
Users that are interested in benchm-ml are comparing it to the libraries listed below
- A python tutorial on bayesian modeling techniques (PyMC3)☆2,493Updated 7 years ago
- Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning☆3,176Updated 3 years ago
- Tutorials and training material for the H2O Machine Learning Platform☆1,487Updated 3 months ago
- Machine Learning Problem Bible | Problem Set Here >>☆716Updated 5 years ago
- A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.☆1,270Updated 6 years ago
- Anomaly Detection with R☆3,586Updated 5 years ago
- H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random F…☆7,034Updated this week
- Observations from Ian on successfully delivering data science products☆543Updated 3 years ago
- THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:☆877Updated 4 years ago
- Sparkling Water provides H2O functionality inside Spark cluster☆966Updated 3 months ago
- A global, black box optimization engine for real world metric optimization.☆1,311Updated last year
- [UNMAINTAINED] Automated machine learning for analytics & production☆1,644Updated 4 years ago
- ggplot port for python☆3,700Updated 2 years ago
- Tutorial on scikit-learn and IPython for parallel machine learning☆1,592Updated 8 years ago
- Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.☆1,206Updated 4 years ago
- Please visit https://github.com/h2oai/h2o-3 for latest H2O☆2,223Updated 3 months ago
- Forecasting Functions for Time Series and Linear Models☆1,133Updated 5 months ago
- Code accompanying the book "Machine Learning for Hackers"☆3,673Updated 5 years ago
- Machine Learning toolbox for Humans☆691Updated 6 months ago
- Breakout Detection via Robust E-Statistics☆756Updated 7 years ago
- PySpark + Scikit-learn = Sparkit-learn☆1,154Updated 4 years ago
- Presentations from H2O meetups & conferences by the H2O.ai team☆409Updated last year
- Library and tools for advanced feature engineering☆566Updated 4 years ago
- Evaluation of Deep Learning Frameworks☆2,047Updated 7 years ago
- dplyr for python☆764Updated 8 years ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,391Updated 7 years ago
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,948Updated 8 years ago
- TensorFlow for R☆1,330Updated 3 weeks ago
- ☆752Updated last year
- My notes and superstitions about common machine learning algorithms☆365Updated 7 years ago