100-Days-Of-ML-Code VS Py_Trans

Compare 100-Days-Of-ML-Code vs Py_Trans 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
Source Code
Suggest alternative
Edit details

Py_Trans

Customize Python Syntax (by LangTrans)
Python dialect syntatic-sugar langtrans
Source Code
Suggest alternative
Edit details
InfluxDB
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
100-Days-Of-ML-Code Py_Trans
3 4
43,302 4
- -
0.0 0.0
4 months ago over 2 years ago
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.

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.

Py_Trans

Posts with mentions or reviews of Py_Trans. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-09.

What are some alternatives?

When comparing 100-Days-Of-ML-Code and Py_Trans 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:

LangTrans - Customize programming languages

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

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.)

machine_learning_basics - Plain python implementations of basic machine learning algorithms

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

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

coffeescript - Unfancy JavaScript

moonscript - :crescent_moon: A language that compiles to Lua

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

project-based-learning - Curated list of project-based tutorials

100-Days-Of-ML-Code vs 100DaysofMLCode Py_Trans vs LangTrans 100-Days-Of-ML-Code vs Data-science-best-resources Py_Trans vs dive-into-machine-learning 100-Days-Of-ML-Code vs machine_learning_basics Py_Trans vs Awesome-pytorch-list 100-Days-Of-ML-Code vs machine-learning-for-software-engineers Py_Trans vs coffeescript 100-Days-Of-ML-Code vs dive-into-machine-learning Py_Trans vs moonscript 100-Days-Of-ML-Code vs 100DaysOfCode Py_Trans vs project-based-learning