100-Days-Of-ML-Code VS machine-learning-for-software-engineers

Compare 100-Days-Of-ML-Code vs machine-learning-for-software-engineers and see what are their differences.

Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
100-Days-Of-ML-Code machine-learning-for-software-engineers
3 2
43,200 27,698
- -
0.0 0.0
4 months ago 23 days ago
MIT License Creative Commons Attribution Share Alike 4.0
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.

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 2024-02-07.

machine-learning-for-software-engineers

Posts with mentions or reviews of machine-learning-for-software-engineers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-18.

What are some alternatives?

When comparing 100-Days-Of-ML-Code and machine-learning-for-software-engineers 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:

mlreef - The collaboration workspace for Machine Learning

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

Awesome-Deblurring - A curated list of resources for Image and Video Deblurring

machine_learning_basics - Plain python implementations of basic machine learning algorithms

datascience - Curated list of Python resources for data science.

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.)

awesome-artificial-intelligence - A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

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

awesome-dva - A curated list of "damn vulnerable apps" and exploitable VMs / wargames. See contributing.md for information.

awesome-python-data-science - Probably the best curated list of data science software in Python.

awesome-machine-learning-portugues - Um plano de estudos para o aprender machine learning em português