Measure Apple Silicon performance for Python and NumPy workloads, providing precise, comparable metrics to optimize thread use and compute efficiency.

🔍 Detect phishing websites easily with this Python and Flask tool, ensuring safer browsing by identifying legitimate and harmful URLs.

Automated machine learning. Evaluate a battery of binary classification algorithms across feature and hyper-parameter spaces.

A curated list of gradient boosting research papers with implementations.

Web-based AutoML platform for California housing price prediction with FeatureTools integration

DayF (Decision at your Fingertips) is an AutoML opensource project

Yet - Another - Auto - ML

Wave App for H2O AutoML

AutoML-Builder is an API that automates the generation of machine learning models for regression or classification tasks from provided datasets.

A curated list of gradient boosting research papers with implementations.

Prediction of Academic success using the automated machine learning tool : H2O AutoML

D2C(Data-driven Control Library) is a library for data-driven control based on reinforcement learning.

A machine learning approach to soil moisture estimation using NASA's CYGNSS data.

Automatically determine trends, correlations, and feature selections given dataset(s)

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

Benchmark of current ML automation frameworks

This repo contains various data science strategy and machine learning models to deal with structure as well as unstructured data. It contains module on feature-preprocessing, feature-engineering, machine-learning-models, bayesian-parameter-tuning, etc, built using libraries such as scikit-learn, keras, h2o, xgboost, lightgbm, catboost, etc.

It's a notification for your daily water intake with amazing water factz..

Utilities to use google/quic-trace with `h2olog quic` logs

Python program utilizing H2O to predict credit approval using the Naïve Bayes Classifier.