machine-learning VS machine_learning_complete

Compare machine-learning vs machine_learning_complete and see what are their differences.

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machine-learning machine_learning_complete
1 2
0 4,507
- -
2.6 5.9
over 2 years ago 7 months ago
Jupyter Notebook Jupyter Notebook
- 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.

machine-learning

Posts with mentions or reviews of machine-learning. We have used some of these posts to build our list of alternatives and similar projects.

machine_learning_complete

Posts with mentions or reviews of machine_learning_complete. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing machine-learning and machine_learning_complete you can also consider the following projects:

Knet.jl - Koç University deep learning framework.

embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.

rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]

CardMap - Code to plot cardmarket orders on a map to show where my MtG cards ended up

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

event-transcripts - transcripts from our recorded events

intent_based_chatbot - An intent-based chatbot in python with tflearn and TensorFlow. It can be trained for a specific purpose and works well within that specific scope.

PtitPrince - python version of raincloud

Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.

artificial-intelligence - AI projects in python, mostly Jupyter notebooks.

awesome-data-centric-ai - Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖