Hands-On-Deep-Learning-Algorithms-with-Python VS comet-examples

Compare Hands-On-Deep-Learning-Algorithms-with-Python vs comet-examples and see what are their differences.

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Hands-On-Deep-Learning-Algorithms-with-Python comet-examples
1 2
107 135
3.7% 1.5%
0.0 8.0
over 1 year ago 7 days 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.

Hands-On-Deep-Learning-Algorithms-with-Python

Posts with mentions or reviews of Hands-On-Deep-Learning-Algorithms-with-Python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-30.

comet-examples

Posts with mentions or reviews of comet-examples. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-12.

What are some alternatives?

When comparing Hands-On-Deep-Learning-Algorithms-with-Python and comet-examples you can also consider the following projects:

fastbook - The fastai book, published as Jupyter Notebooks

you-dont-need-a-bigger-boat - An end-to-end implementation of intent prediction with Metaflow and other cool tools

PyTorchZeroToAll - Simple PyTorch Tutorials Zero to ALL!

mlcomops

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

handson-ml - ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0