Avik-Jain/100-Days-Of-ML-CodeGitHub
calls machine_learning_basics “choose to read plain-Python implementations of basic algorithms without following a daily schedule.”
100 Days of ML Coding
51.8kdormant
zotroneneis/machine_learning_basics Alternatives
machine_learning_basics is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
Listed as an alternative to
These projects were analysed and named machine_learning_basics among their alternatives. The relationship is not symmetric — how machine_learning_basics rates them is a separate judgement, made when machine_learning_basics is analysed in its own right.
rasbt/python-machine-learning-bookGitHub
calls machine_learning_basics “Choose for clean from-scratch Python implementations of core ML algorithms.”
The "Python Machine Learning (1st edition)" book code repository and info resource
12.6kJupyter Notebookactive
aymericdamien/TensorFlow-ExamplesGitHub
calls machine_learning_basics “Choose for extremely simple pure-Python implementations of basic ML algorithms, though unmaintained.”
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
43.7kJupyter Notebookdormant
trekhleb/homemade-machine-learningGitHub
calls machine_learning_basics “Choose for a simpler from-scratch baseline but accept no updates since 2 years.”
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
24.8kJupyter Notebookslowing
rushter/MLAlgorithmsGitHub
calls machine_learning_basics “choose when you want plain Python implementations without notebooks, but note it is not actively maintained.”
Minimal and clean examples of machine learning algorithms implementations
11.2kPythonactive
Yorko/mlcourse.aiGitHub
calls machine_learning_basics “when you want plain-Python from-scratch implementations of basic algorithms as a reference.”
Open Machine Learning Course
10.7kPythonactive
aladdinpersson/Machine-Learning-CollectionGitHub
calls machine_learning_basics “For plain Python implementations without external ML libraries.”
A resource for learning about Machine learning & Deep Learning
8.5kPythondormant
rasbt/python-machine-learning-book-2nd-editionGitHub
calls machine_learning_basics “When you prefer learning algorithms through plain-Python from-scratch implementations.”
The "Python Machine Learning (2nd edition)" book code repository and info resource
7.2kJupyter Notebookdormant
MLEveryday/practicalAI-cnGitHub
calls machine_learning_basics “When you want plain Python implementations of fundamental ML algorithms without the deep learning or PyTorch notebook material.”
AI实战-practicalAI 中文版
6.9kJupyter Notebookactive