1029 Open source projects that are alternatives of or similar to Kaggle Past Solutions

深度学习在推荐系统中的应用及论文小结。

Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

数据科学竞赛知识、代码、思路

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

Open solution to the Data Science Bowl 2018

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

A community run, 5-day PyTorch Deep Learning Bootcamp

Một cuốn sách tương tác về học sâu có mã nguồn, toán và thảo luận. Đề cập đến nhiều framework phổ biến (TensorFlow, Pytorch & MXNet) và được sử dụng tại 175 trường Đại học.

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

A collection of notebooks of my Machine Learning class written in python 3

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

Allstate Kaggle Competition ML Capstone Project

LAMA - automatic model creation framework

Open solution to the Toxic Comment Classification Challenge

Open solution to the Mapping Challenge 🌎

📢 Ready to learn or review your knowledge!

MLBox is a powerful Automated Machine Learning python library.

9th Place Solution of Kaggle Global Wheat Detection

A Python package for building Bayesian models with TensorFlow or PyTorch

An R-focused pipeline toolkit for reproducibility and high-performance computing

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

🌊 FluRS: A Python library for streaming recommendation algorithms

Una introduccion al analisis de datos con R y R Studio

Series of the problem 💯 and solution ✅ asked by Daily Coding problem👨‍🎓 website.

fklearn: Functional Machine Learning

A repo with tutorials for algorithms from scratch

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.

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

A jupyter notebook that provides analysis for StarCraft 2 replays

Automated Data Science and Machine Learning library to optimize workflow.

EPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).

Best Practices on Recommendation Systems

GitHub Action for repo2docker

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

📝 Подборка ресурсов по машинному обучению

Spark 2.0 Python Machine Learning examples

Simple Smart Pipe: python productivity-tool for rapid data manipulation

Tool for reading and writing datasets of tensors in a Lightning Memory-Mapped Database (LMDB). Designed to manage machine learning datasets with fast reading speeds.

Financial Web Scraper & Sentiment Classifier

Model Agnostics breakDown plots

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

Explore high-dimensional datasets and how your algo handles specific regions.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

Automatic Item List Extraction

A point-and-click tool for creating and analyzing topic models produced by MALLET.

A Handful of D(u)S(t)

Koç University deep learning framework.

Python3 binding to mRMR Feature Selection algorithm (currently not maintained)

🧬 A JupyterLab extension for annotating data with Prodigy

🏖TagEditor - Annotation tool for spaCy

List of textual data sources to be used for text mining in R

Templates for jupyter notebooks

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under a BSD-3-Clause license.

Maze Applied Reinforcement Learning Framework

Hayate-Shiki is an improved merge sort algorithm with the goal of "faster than quick sort".