Hands-On-Deep-Learning-Algorithms-with-Python
comet-examples
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 | - |
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
-
[D] I'm trying to do more stuff in pure Tensorflow. Is there an in-depth book that explain constructing recurrent, convolutional, graph etc layers in it?
The code : https://github.com/PacktPublishing/Hands-On-Deep-Learning-Algorithms-with-Python
comet-examples
-
MLOps level 4 tooling
- Quickstart guide
-
[Discussion]Unlock the power of MLOps: A comprehensive guide to building a scalable and efficient ML pipeline
There's some good examples here. Pick your framework: https://github.com/comet-ml/comet-examples/blob/master/readme.md
What are some alternatives?
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