awesome-python-data-science VS machine-learning-resources

Compare awesome-python-data-science vs machine-learning-resources and see what are their differences.

awesome-python-data-science

Probably the best curated list of data science software in Python. (by krzjoa)
Awesome awesome-list awesome-python scikit-learn Python Deep Learning Machine Learning Data Science Data Visualization Data Analysis Statistics
Source Code
krzjoa.github.io
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machine-learning-resources

A curated list of awesome machine learning frameworks, libraries, courses, books and many more. (by datascienceid)
Machine Learning awesome-list Paper Conference Datasets Data Science Natural Language Processing nlp-machine-learning Data Analysis Tutorial Handbook textbook
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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awesome-python-data-science machine-learning-resources
2 14
2,322 381
- 0.0%
7.6 0.0
24 days ago about 1 year ago
Creative Commons Attribution 4.0 MIT License
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.

machine-learning-resources

Posts with mentions or reviews of machine-learning-resources. 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 machine-learning-resources you can also consider the following projects:

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

tech-conferences-india - A comprehensive list of tech conferences in India :india:

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

awesome-artificial-intelligence-research - A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

chrisalbon_com - Code for ChrisAlbon.com

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.

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.

webrtc-video-conference-tutorial - This is a tutorial for building a video conference application

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

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.

Awesome-Out-Of-Distribution-Detection - A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization

datascience - Curated list of Python resources for data science.

awesome-python-data-science vs 100-Days-Of-ML-Code machine-learning-resources vs tech-conferences-india awesome-python-data-science vs awesome-bigdata machine-learning-resources vs awesome-artificial-intelligence-research awesome-python-data-science vs chrisalbon_com machine-learning-resources vs yt-channels-DS-AI-ML-CS awesome-python-data-science vs Blazor-MachineIntelligence machine-learning-resources vs webrtc-video-conference-tutorial awesome-python-data-science vs streamlit machine-learning-resources vs CodeSearchNet awesome-python-data-science vs Awesome-Out-Of-Distribution-Detection machine-learning-resources vs datascience