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Tlol-py Alternatives
Similar projects and alternatives to tlol-py
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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lolgym
PyLoL OpenAI Gym Environments for League of Legends v4.20 RL Environment (LoLRLE) (by jjlee0802cu)
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tlol-scraper
TLoL (Replay Extractor) - League of Legends Deep Learning AI (Dataset Extractor / Generator)
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better tlol-py alternative or higher similarity.
tlol-py reviews and mentions
Posts with mentions or reviews of tlol-py.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-12.
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Posted by u/Ok-Alps-7918 just now [P] League of Legends Patch 13.3 (and onwards) Reinforcement Learning and Data Analytics Libraries Sorry, this post has been removed by the
Along with this reinforcement learning library, I was considering creating a paid service which would allow people to get the information from League of Legends replay files (*.rofl) and extract it to create data analytics / supervised learning datasets. However, along with the RL library I have open-sourced the data analytics library and it is now open-source and free for all. This library can be found at tlol-py and depends on tlol-scraper.
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[Discussion] League of Legends Reinforcement Learning Library - Interest
As for D4RL like datasets, I've tried to create and release open-source datasets for League during Season 12, however those datasets lacked scope which made them less useful for any researcher who wanted to use them. I have already created a library, [tlol-py](https://github.com/MiscellaneousStuff/tlol-py), which allows creating League of Legends datasets from .rofl replay files for data analysis and RL / supervised learning tasks. Perhaps if I created a discord and got community feedback, it would be much easier to create these types of datasets as people could say what would or would not be useful for them to contain.
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[D] What tool do you use for reinforcement learning experimentation?
The other one is a supervised learning / offline reinforcement learning [project](https://github.com/MiscellaneousStuff/tlol-py) which contains the only game playing [dataset](https://github.com/MiscellaneousStuff/tlol) for League of Legends (70 hours of gameplay).
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Stats
Basic tlol-py repo stats
4
21
7.5
4 months ago
MiscellaneousStuff/tlol-py is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of tlol-py is Python.
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