SeeAI VS Advertisement-Recommendation

Compare SeeAI vs Advertisement-Recommendation and see what are their differences.

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SeeAI Advertisement-Recommendation
2 1
7 9
- -
10.0 4.0
over 1 year ago 6 months ago
Jupyter Notebook Jupyter Notebook
BSD 2-clause "Simplified" 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.

SeeAI

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

Advertisement-Recommendation

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

What are some alternatives?

When comparing SeeAI and Advertisement-Recommendation you can also consider the following projects:

2D-Gaussian-Splatting - A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!

pythoncode-tutorials - The Python Code Tutorials

lane-detection-opencv - This is for detecting any lane in the road to identify the road map

elastic_transformers - Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

D-Drone_v2 - Detection of Drones using Computer Vision Algorithms

Astock - Astock

100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building

Sentiment-Analysis - This repository contains a project to analyze customer feedback data for British Airways (BA) and uncover insights about the airline. It includes code, data, and documentation for data scraping and preparation, data analysis, and presentation of results and recommendations.

DeepLearning - Contains all my works, references for deep learning

Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

Social_Distancing_with_AI - Monitor people violating Social Distancing or not wearing Face Masks in public through CCTV footage.

CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.