635 Open source projects that are alternatives of or similar to Stacking

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.).

Machine Learning Platform and Recommendation Engine built on Kubernetes

A repository to keep track of all the code that I end up writing for my blog posts.

A collection of all projects pertaining to different layers in the SDC software stack

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Python Cheat Sheet NumPy, Matplotlib

Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.

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Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Time series prediction with Sequential Model and LSTM units

Comparison tools

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

Jun 2020 scikit-learn sprint

pymc-learn: Practical probabilistic machine learning in Python

Federated Knowledge Extraction Framework

A library for machine learning research on motion capture data

IPython widgets, interactive plots, interactive machine learning

📓 Long(er) text representation and classification using Doc2Vec embeddings

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command line neural network

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

✋ Recognizing "Hand Gestures" using OpenCV and Python.

Credit Risk analysis by using Python and ML

This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

flink-jpmml is a fresh-made library for dynamic real time machine learning predictions built on top of PMML standard models and Apache Flink streaming engine

A unified ensemble framework for Pytorch to improve the performance and robustness of your deep learning model

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

implementation of STGCN for traffic prediction in IJCAI2018

Easy and comprehensive assessment of predictive power, with support for neuroimaging features

Machine Learning for High Energy Physics.

A high-level machine learning and deep learning library for the PHP language.

Interactive SVM Explorer, using Dash and scikit-learn

Genome annotation with AUGUSTUS

JARVIS-Tools: an open-source software package for data-driven atomistic materials design

A Python library for integrating model-based and judgmental forecasting

Machine learning with scikit-learn tutorial at PyData Chicago 2016

MLeap: Deploy ML Pipelines to Production

A fast xgboost feature selection algorithm

📚 Various cheatsheets in PDF

Open solution to the Toxic Comment Classification Challenge

Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker

[NeurIPS 2019] Deep Set Prediction Networks

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

Some of the ML and DL related reading materials, research papers that I've read

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn

DeepSuperLearner - Python implementation of the deep ensemble algorithm

🤖⚡️ scikit-learn tips

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A repository for recording the machine learning code

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scikit-learn compatible implementation of stability selection.

The "Python Machine Learning (1st edition)" book code repository and info resource

An easy neural network for Java!

Start writing machine learning code in just 10 hours