7180 Open source projects that are alternatives of or similar to Kaggle Competitions

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

Probabilistic reasoning and statistical analysis in TensorFlow

Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-20. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-19.

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Diseases Detection from NIH Chest X-ray data

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

USC urban data science course series with Python and Jupyter

🤖⚡️ scikit-learn tips

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

Github repo with tutorials to fine tune transformers for diff NLP tasks

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

Open solution to the Home Credit Default Risk challenge 🏡

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

GitHub Action for repo2docker

The data and code that used in my book.

¡Camino a una educación autodidacta en Ciencia de Datos!

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.

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

H2O.ai Machine Learning Interpretability Resources

A workshop on data privacy methods for data scientists.

Multi-class confusion matrix library in Python

The 3rd edition of course.fast.ai

Talks & Workshops by the CODAIT team

I will update this repository to learn Machine learning with python with statistics content and materials

MRI analysis using PyTorch and MedicalTorch

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

An intro to Python & programming for wanna-be data scientists

深度学习入门教程, 优秀文章, Deep Learning Tutorial

A simple probabilistic programming language.

CatBoost tutorials repository

Statistical Machine Intelligence & Learning Engine

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

Code for Kaggle Data Science Competitions

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

All course materials for the Zero to Mastery Machine Learning and Data Science course.

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

Repo for Applied Text Mining in Python (coursera) by University of Michigan

🎓 Jupyter notebooks from UFC data science course

An open source python library for automated feature engineering

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

Support content for my blog

Always know what to expect from your data.

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

Material for the EPFL master course "A Network Tour of Data Science", edition 2017.

Word2Vec models with Twitter data using Spark. Blog:

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

ETL with Python - Taught at DWH course 2017 (TAU)

Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline

🍧 A repository that contains courses I have taken on DataCamp

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

🍊 📊 💡 Orange: Interactive data analysis

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

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