fifa-stats-crawler VS RL-Algorithms

Compare fifa-stats-crawler vs RL-Algorithms and see what are their differences.

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fifa-stats-crawler RL-Algorithms
1 1
25 6
- -
0.0 2.6
5 months ago over 3 years ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 only 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.

fifa-stats-crawler

Posts with mentions or reviews of fifa-stats-crawler. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-18.

RL-Algorithms

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

What are some alternatives?

When comparing fifa-stats-crawler and RL-Algorithms you can also consider the following projects:

Periculum-API - A working API for accessing/scraping kickasstorrent Torrents data.

Youtube-Code-Repository - Repository for most of the code from my YouTube channel

SauceKudasai - Get Anime info by image or URL (uses trace.moe and Anilist for animeinfo)

awesome-python-projects - 📱 ✅ Some awesome projects in python! 📱 ✅

airscraper - Airtable backup script package

trading-bot - Stock Trading Bot using Deep Q-Learning

droneRL-workshop - Reinforcement Learning workshop

go-strategize - go-strategize is a simple CLI program that provisions your infrastructure using terraform and configures it using ansible.

fifa - React + Node.js + socket.io -- A turn-based multiplayer game-client based on FIFA

ransomware-py - Simple COVID-19 made with python (.corona)

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)