1465 Open source projects that are alternatives of or similar to Chefboost

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

ohayo is a fast and free data science studio.

A modular, high performance, headless e-commerce platform built with Python, GraphQL, Django, and React.

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Python package for graph statistics

A Python package for building Bayesian models with TensorFlow or PyTorch

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

A Python Package for Monitoring Seismic Velocity Changes using Ambient Seismic Noise | http://www.msnoise.org

Slide show presentations regarding data driven investing.

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

Blockchain2graph extracts blockchain data (bitcoin) and insert them into a graph database (neo4j).

Model Agnostics breakDown plots

Collection of Artificial Intelligence projects.

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

a curated list of R tutorials for Data Science, NLP and Machine Learning

Web scrapping and related analytics using Python tools

Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.

Lithology and stratigraphic logs for wells or outcrop.

Daggy - Data Aggregation Utility. Open source, free, cross-platform, server-less, useful utility for remote or local data aggregation and streaming

State-of-the art Automated Machine Learning python library for Tabular Data

🍕 Repositório para juntar informações sobre materiais de estudo em análise de dados e áreas afins, empresas que trabalham com dados e dicionário de conceitos

9th Place Solution of Kaggle Global Wheat Detection

随机森林，Random Forest（RF）

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

A New, Interactive Approach to Learning Python

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

Interface to use R from Python

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

Matplot++: A C++ Graphics Library for Data Visualization 📊🗾

A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

TipDM建模平台，开源的数据挖掘工具。

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

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

A curated list of community detection research papers with implementations.

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

Home assignments for data science positions

Templates for jupyter notebooks

Code for Kaggle Competitions

Maze Applied Reinforcement Learning Framework

Spying using Smartwatch and Deep Learning

A collection of useful modules and utilities (especially helpful for kaggling) not available in Pytorch

Griffon Data Science Virtual Machine

List of Machine Learning & Data Science Conferences

Training a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python

Deep Learning Toolkit for Medical Image Analysis

🔥🐻 The Speakeasy Scripting Engine Which Combines Speed, Safety, and Simplicity

Open Source ASP.NET Core Enterprise eCommerce Shopping Cart Solution

Julia port of the Python autograd package.

A New, Interactive Approach to Learning Data Science

Notes for Deep Learning Specialization Courses led by Andrew Ng.

🎼天池阿里音乐流行趋势预测大赛，项目中涵盖了从初赛到复赛的全部核心代码。复赛的聚合数据可以在百度网盘下载，更详细的思路介绍欢迎访问我的博客。

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

Pandas and Spark DataFrame comparison for humans

Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

Deutsche Boerse's Financial Trading Public Data Set

A fully functioning Node.js shopping cart with Stripe, PayPal, Authorize.net, PayWay, Blockonomics, Adyen, Zip and Instore payments.

GitHub actions for R and accompanying R package