szilard / benchm-mlLinks
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.).
☆1,888Updated 3 years ago
Alternatives and similar repositories for benchm-ml
Users that are interested in benchm-ml are comparing it to the libraries listed below
Sorting:
- Machine Learning Problem Bible | Problem Set Here >>☆714Updated 5 years ago
- SFrame: Scalable tabular and graph data-structures built for out-of-core data analysis and machine learning.☆902Updated 7 years ago
- A global, black box optimization engine for real world metric optimization.☆1,319Updated 2 years ago
- Observations from Ian on successfully delivering data science products☆543Updated 4 years ago
- Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.☆1,207Updated 4 years ago
- PySpark + Scikit-learn = Sparkit-learn☆1,154Updated 4 years ago
- Sparkling Water provides H2O functionality inside Spark cluster☆976Updated 2 months ago
- Evaluation of Deep Learning Frameworks☆2,044Updated 8 years ago
- Anomaly Detection with R☆3,608Updated 6 years ago
- Tutorials and training material for the H2O Machine Learning Platform☆1,498Updated last year
- Please visit https://github.com/h2oai/h2o-3 for latest H2O☆2,234Updated last year
- Instructions for setting up the software on your deep learning machine☆1,974Updated 7 years ago
- Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning☆3,169Updated 4 years ago
- A python tutorial on bayesian modeling techniques (PyMC3)☆2,510Updated 8 years ago
- Presentations from H2O meetups & conferences by the H2O.ai team☆410Updated 2 years ago
- A scalable machine learning library on Apache Spark☆795Updated 4 years ago
- Breakout Detection via Robust E-Statistics☆760Updated 8 years ago
- Library and tools for advanced feature engineering☆568Updated 4 years ago
- A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.☆1,267Updated 7 years ago
- Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow☆2,750Updated 3 years ago
- TensorFlow for R☆1,338Updated 2 months ago
- dplyr for python☆764Updated 8 years ago
- CPU and GPU-accelerated Machine Learning Library☆916Updated 3 years ago
- Code accompanying the book "Machine Learning for Hackers"☆3,702Updated 6 years ago
- A library for reading text files over multiple cores.☆1,055Updated 2 years ago
- XGBoost Feature Interactions & Importance☆502Updated 7 years ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,395Updated 8 years ago
- Tutorial on scikit-learn and IPython for parallel machine learning☆1,598Updated 9 years ago
- Interactive, node-by-node debugging and visualization for TensorFlow☆1,352Updated 8 years ago
- A data science IDE for Python☆3,907Updated 7 years ago