There are 4 repositories under stacking topic.
MLBox is a powerful Automated Machine Learning python library.
LAMA - automatic model creation framework
ML-Ensemble – high performance ensemble learning
:dart: Personal data science and machine learning toolbox
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
A jQuery plugin that creates a stacking effect by sticking panels as they reach the top of the viewport.
Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)
State-of-the art Automated Machine Learning python library for Tabular Data
Explore transactions and accounts on the Stacks blockchain. Clone any contract and experiment in your browser with the Explorer sandbox.
Dataflow Programming for Machine Learning in R
[Data Castle 算法竞赛] 精品旅行服务成单预测 final rank 11
Time Series Ensemble Forecasting
Solution to Kaggle's PLAsTiCC Astronomical Classification Competition
This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking and Blending were made from scratch, the example for Voting was using the scikit-learn utility.
CSS layout components that (basically) horizontally and vertically stack anything.
Cassava leaf disease classification with CNNs and Transformers (top-1% Kaggle solution)
In depth machine learning resources
Stacking a machine learning ensemble for multivariate time series forecasting, with the goal of predicting the one-period ahead PM 2.5 air pollution level, as published in Towards Data Science on Medium.com
Nightlight: Astronomic Image Processing
Time-scale phase-weighted stack software for seismic signal denoising
A simple stacking wayland compositor based on tinywl.
Tools for microscopic captures and focus stackshots (beta)
Ensemble Learning for Apache Spark 🌲
Blockchain projects - DeFi, NFT, P2E, minting, staking, evolution/breeding, raffle/auction, marketplace, launchpad on Solana, Ethereum, BSC, Avalanche and so on. Handled smart contract, backend, frontend parts using rust, anchor, solidity, javascript, typescript, node, express, golang, python etc
Stock Market Prediction on High-Frequency Data Using soft computing based AI models