fromage VS ml-course

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

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fromage ml-course
2 8
459 2,063
- 2.6%
6.3 2.4
7 months ago about 17 hours ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.

fromage

Posts with mentions or reviews of fromage. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-10.

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 fromage and ml-course you can also consider the following projects:

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

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

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.

TabularSemanticParsing - Translating natural language questions to a structured query language

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.

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

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

reinforcement_learning_course_materials - Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

avalon - A 3D video game environment and benchmark designed from scratch for reinforcement learning research

embedml - pytorch like machine learning framework from scratch

LlamaIndex-course - Learn to build and deploy AI apps.

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.