7643 Open source projects that are alternatives of or similar to Kubeflow Data Science On Steroids

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

GitHub Action for repo2docker

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

A day to day plan for this challenge. Covers both theoritical and practical aspects

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

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

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

Curso de Introducción a Machine Learning con Python

Efficient Learning of Augmentation Policy Schedules

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

¡Camino a una educación autodidacta en Ciencia de Datos!

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Quiz & Assignment of Coursera

food image to recipe with deep convolutional neural networks.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

The 3rd edition of course.fast.ai

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

Temporary home for fastai v2 while it's being developed

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

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

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Support content for my blog

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

H2O.ai Machine Learning Interpretability Resources

🚀 Build and manage real-life data science projects with ease!

A simple probabilistic programming language.

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

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

【运筹OR帷幄|数据科学】pandas教程系列电子书

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

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

Ways of doing Data Science Engineering and Machine Learning in R and Python

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

Human Activity Recognition (HAR) with Keras and CoreML

Data Science Best Practices with pandas

An ongoing list of pandas quirks

深度学习在推荐系统中的应用及论文小结。

Feature exploration for supervised learning

Automatic extraction of relevant features from time series:

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

📘 The interactive computing suite for you! ✨

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.

Learning numerical computing with notebooks for all ages.

The Hitchhiker's Guide to Data Science for Social Good

The "Python Machine Learning (2nd edition)" book code repository and info resource

Quiz & Assignment of Coursera

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Python tools for data analysis

Cloud Native Presentation Slides with Jupyter Notebook + Reveal.js

Repository of publicly available talks by Leon Eyrich Jessen, PhD. Talks cover Data Science and R in the context of research

Introduction to pandas Treehouse course