876 Open source projects that are alternatives of or similar to Awesome H2o

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

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.).

Verteego Data Suite

H2O.ai Machine Learning Interpretability Resources

RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

Tutorials and training material for the H2O Machine Learning Platform

Materials for GWU DNSC 6279 and DNSC 6290.

Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

Universal Reddit Scraper - A comprehensive Reddit scraping command-line tool written in Python.

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

R for data science: a book

A curated list of awesome Distributed Deep Learning resources.

Core repo for

📚 An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

An Open Source, Self-Hosted Platform For Applied Deep Learning Development

Compilation of R and Python programming codes on the Data Professor YouTube channel.

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

An open source, hands-on and fully reproducible book in quantitative finance, data science and econophysics. Join us and help Make Wall Street Great Again!

ForestFlow is a policy-driven Machine Learning Model Server. It is an LF AI Foundation incubation project.

DEPRECATED Build, manage and deploy H2O's high-speed machine learning models.

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Showcase for using H2O and R for churn prediction (inspired by ZhouFang928 examples)

Human-explainable AI.

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

Shōgun

Data Science at the Command Line

😎 A curated list of awesome MLOps tools

MLOps for AWS SageMaker. www.sagifyml.com

A High-level Machine Learning Library for Go

Open solution to the Mapping Challenge 🌎

Encoding methods for dirty categorical variables

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

High-quality implementations of standard and SOTA methods on a variety of tasks.

Distributed scikit-learn meta-estimators in PySpark

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

A Code-First Introduction to NLP course

Data exploration glue

Statistical Learning & Data Mining IV - H2O Presenation & Tutorial

Relax! Flux is the ML library that doesn't make you tensor

Python binding for the H2O HTTP server

Immutable data frame for Go

Python library that makes it easy for data scientists to create charts.

Mercury-ML is an open source Machine Learning workflow management library. Its core contributors are employees of Alexander Thamm GmbH

NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil

Exemplary, annotated machine learning pipeline for any tabular data problem.

Monthly Series - Top 10 Python Articles

这是BDCI2018的联通赛题第一名解决方案

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

Identifying diseases in chest X-rays using convolutional neural networks

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

Cryptocurrency Price Prediction Using LSTM neural network

Deep Learning for humans

📝 An awesome Data Science repository to learn and apply for real world problems.

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog