awesome-python-data-science VS Awesome-Out-Of-Distribution-Detection

Compare awesome-python-data-science vs Awesome-Out-Of-Distribution-Detection and see what are their differences.

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awesome-python-data-science Awesome-Out-Of-Distribution-Detection
2 6
2,322 546
- -
7.6 7.6
24 days ago 4 days ago
Creative Commons Attribution 4.0 Creative Commons Zero v1.0 Universal
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

awesome-python-data-science

Posts with mentions or reviews of awesome-python-data-science. We have used some of these posts to build our list of alternatives and similar projects.

Awesome-Out-Of-Distribution-Detection

Posts with mentions or reviews of Awesome-Out-Of-Distribution-Detection. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing awesome-python-data-science and Awesome-Out-Of-Distribution-Detection you can also consider the following projects:

100-Days-Of-ML-Code - 100 Days of ML Coding

awesome-ocr

awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.

best-of-jupyter - 🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

chrisalbon_com - Code for ChrisAlbon.com

Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Blazor-MachineIntelligence - Centralized repository of my Blazor apps with Machine Intelligence (Statistics, Analytics, Machine Learning, AI, Information Retrieval etc.). This repository will coalesce all of my Machine Intelligence repos in a single area and point to their respective: live demo, source code, video & presentation locations.

AugMax - [NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.

streamlit - Streamlit — A faster way to build and share data apps.

yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

machine-learning-resources - A curated list of awesome machine learning frameworks, libraries, courses, books and many more.

datascience - Curated list of Python resources for data science.