aka7h

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.

Language:Jupyter NotebookApache-2.06831 385 9405

videos

Code for the manim-generated scenes used in 3blue1brown videos

Language:Python5857 109 57

statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

Language:PythonApache-2.03791 37 321

tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

Language:PythonMIT2572 38 303

pytorch_tabular

A standard framework for modelling Deep Learning Models for tabular data

Language:PythonMIT1284 22 146

MAPIE

A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

Language:Jupyter NotebookBSD-3-Clause1227 14 244

GPBoost

Combining tree-boosting with Gaussian process and mixed effects models

Language:C++NOASSERTION542 12 126

simplemonitor

A Python-based network and host monitor

Language:PythonBSD-3-Clause405 34 165

unionml

UnionML: the easiest way to build and deploy machine learning microservices

Language:PythonApache-2.0334 4 146

scalecast

The practitioner's forecasting library

Language:PythonMIT328 5 48

finnts

Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.

Language:RNOASSERTION181 11 74