100-Days-Of-ML-Code VS awesome-python

Compare 100-Days-Of-ML-Code vs awesome-python and see what are their differences.

100-Days-Of-ML-Code

100 Days of ML Coding (by Avik-Jain)
Machine Learning machine-learning-algorithms Infographics Tutorial siraj-raval-challenge siraj-raval Implementation 100-days-of-code-log 100daysofcode Python logistic-regression naive-bayes-classifier linear-regression Svm Linear Algebra scikit-learn support-vector-machines Deep Learning
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awesome-python

An opinionated list of awesome Python frameworks, libraries, software and resources. (by vinta)
Awesome Python Collections python-library python-framework python-resources
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awesome-python.com
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100-Days-Of-ML-Code awesome-python
4 86
43,337 205,414
- -
0.0 7.0
4 months ago 18 days ago
Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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100-Days-Of-ML-Code

Posts with mentions or reviews of 100-Days-Of-ML-Code. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-03.

awesome-python

Posts with mentions or reviews of awesome-python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-05-03.

What are some alternatives?

When comparing 100-Days-Of-ML-Code and awesome-python you can also consider the following projects:

100DaysofMLCode - My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

Qtile-Config - This is my configuration of Qtile, a window manager written in python.

machine_learning_basics - Plain python implementations of basic machine learning algorithms

VeRyPy - A python library with implementations of 15 classical heuristics for the capacitated vehicle routing problem.

Data-science-best-resources - Carefully curated resource links for data science in one place

Pyadomd - A pythonic approach to query SSAS data models.

machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

dive-into-machine-learning - Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

DearPyGui - Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

100DaysOfCode - A GitHub Repo for my #100DaysOfCode challenge projects

Box - Python dictionaries with advanced dot notation access

100-Days-Of-ML-Code vs 100DaysofMLCode awesome-python vs Qtile-Config 100-Days-Of-ML-Code vs machine_learning_basics awesome-python vs VeRyPy 100-Days-Of-ML-Code vs Data-science-best-resources awesome-python vs Pyadomd 100-Days-Of-ML-Code vs machine-learning-for-software-engineers awesome-python vs ydata-profiling 100-Days-Of-ML-Code vs dive-into-machine-learning awesome-python vs DearPyGui 100-Days-Of-ML-Code vs 100DaysOfCode awesome-python vs Box