ml-course VS embedml

Compare ml-course vs embedml and see what are their differences.

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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ml-course embedml
8 2
2,059 4
2.4% -
2.4 2.5
3 days ago 10 months ago
Jupyter Notebook Jupyter Notebook
MIT License 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.

ml-course

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

What are some alternatives?

When comparing ml-course and embedml you can also consider the following projects:

pytorch-implementations - A collection of paper implementations using the PyTorch framework

hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

IJCAI2023-CoNR - IJCAI2023 - Collaborative Neural Rendering using Anime Character Sheets

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

Subway-Station-Hazard-Detection - This project is part of the CS course 'Systems Engineering Meets Life Sciences II' at Goethe University Frankfurt. In this Computer Vision project, we developed a first prototype of a security system which uses the surveillance cameras at subway stations to recognize dangerous situations. The training data was artificially generated by a Unity-based simulation.

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

TabularSemanticParsing - Translating natural language questions to a structured query language

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

Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

fastai - The fastai deep learning library