pythoncode-tutorials VS Advertisement-Recommendation

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

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pythoncode-tutorials Advertisement-Recommendation
1 1
2,002 8
- -
8.1 4.0
17 days ago 5 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.

pythoncode-tutorials

Posts with mentions or reviews of pythoncode-tutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-12.

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 pythoncode-tutorials and Advertisement-Recommendation you can also consider the following projects:

violent-python3 - Source code for the book "Violent Python" by TJ O'Connor. The code has been fully converted to Python 3, reformatted to comply with PEP8 standards and refactored to eliminate dependency issues involving the implementation of deprecated libraries.

elastic_transformers - Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.

Astock - Astock

flytesnacks - Flyte Documentation 📖

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.

TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

SeeAI - Enabling computers to perform NLP on data obtained from advanced computer vision

PyCBC-Tutorials - Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.

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

lmsoc - Code for reproducing our paper: LMSOC: An Approach for Socially Sensitive Pretraining

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