7021 Open source projects that are alternatives of or similar to Production Data Science

Accelerate your ML and Data workflows to production. Flyte is a production grade orchestration system for your Data and ML workloads. It has been battle tested at Lyft, Spotify, freenome and others and truly open-source.

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Develop production ready deep learning code, deploy it and scale it

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

SuperComputing 2017 Deep Learning Tutorial

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Human-explainable AI.

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

Jupyter notebooks from the scikit-learn video series

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

A fast and lightweight AutoML library.

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

A Code-First Introduction to NLP course

Cryptocurrency Price Prediction Using LSTM neural network

Quantitative finance research tools in Python

Debugging, monitoring and visualization for Python Machine Learning and Data Science

An open-source, low-code machine learning library in Python

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.

open source for wechat-official-account (ID: PyDataLab)

DeltaPy - Tabular Data Augmentation (by @firmai)

experiments with python

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Source code and data analyses for the Sci-Hub Coverage Study

CARTO Python package for data scientists

A collection of Jupyter Notebooks for learning Python for Data Science.

Materials for GWU DNSC 6279 and DNSC 6290.

CardIO is a library for data science research of heart signals

Full Stack Data Science in Python

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

Stock for Deep Learning and Machine Learning

Applying Data Science and Machine Learning to Solve Real World Business Problems

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

[tutorial]A functional, Data Science focused introduction to Python

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

The Go kernel for Jupyter notebooks and nteract.

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

Tutorial: Web scraping in Python with Beautiful Soup

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

An orchestration platform for the development, production, and observation of data assets.

Function-oriented Make-like declarative workflows for R

Curso de Data Science em Português

My Answer to 120 Data Science Interview Questions

Python for Data Science (Seminar Course at UC Berkeley; AY 250)

Data science portfolio

Compilation of R and Python programming codes on the Data Professor YouTube channel.

阿水的数据竞赛开源分支

Code for Machine Learning for Algorithmic Trading, 2nd edition.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Probabilistic reasoning and statistical analysis in TensorFlow

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

This is a tutorial for PyTorch Geometric on the YooChoose dataset

RadIO is a library for data science research of computed tomography imaging

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

Interactive reports to analyze machine learning models during validation or production monitoring.

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