pathway-examples VS Gather-Deployment

Compare pathway-examples vs Gather-Deployment and see what are their differences.

Gather-Deployment

Gathers Python deployment, infrastructure and practices. (by huseinzol05)
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pathway-examples Gather-Deployment
2 1
41 351
- -
8.5 4.0
about 1 month ago 9 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.

pathway-examples

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

Gather-Deployment

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

What are some alternatives?

When comparing pathway-examples and Gather-Deployment you can also consider the following projects:

Deep-Learning-With-TensorFlow-Blog-series - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow [Moved to: https://github.com/Rishit-dagli/Deep-Learning-With-TensorFlow]

dracula - a brief analysis to the most common words in Dracula, by Bram Stoker

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

project - Predict how many points an European football team will end the season with, according to the characteristics of its players. Project for the Big Data Computing course at Sapienza University of Rome (2021-22)

TFServing-Demos - TF Serving demos

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

tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).

reddit-streaming - streaming eight subreddits from reddit api using kafka producer & spark structured streaming.