irwin
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irwin | kaggle-environments | |
---|---|---|
57 | 55 | |
486 | 273 | |
- | 1.5% | |
0.0 | 6.6 | |
over 1 year ago | about 2 months ago | |
Python | Jupyter Notebook | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
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.
irwin
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How common is false banning in chess?
For Lichess, you can get some sort of idea from reading the code. If I remember correctly, there's some threshold for the site suspecting you of cheating based on a variety of simple metrics (accuracy, blurring, etc) and then it gets sent to machine learning tools to analyze (here is one of them, and here's another).
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Chess’s Governing Body Delays Report on Hans Cheating Scandal
Lichess is open source. Here is their anti-cheating code on github: https://github.com/clarkerubber/irwin
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Spotting a cheater: Stats analysis
Yeah Irwin is the old lichess model - here (https://github.com/clarkerubber/irwin) as well as the more maintained fork (https://github.com/lakinwecker/irwin/commits/master)
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Lichess - Cheaters, bots, AI-based human hybrid opponents
This is nonsense. They’re a free and open source nonprofit with no interest in commercial buyers. I’ve played on lichess for 3 years, over which time I’ve never encountered more than 1 cheater within 10 games (and normally much less than that). Because the website is open source, you can see the cheat detection they use. It’s not perfect — there is no perfect system — but it’s transparent and in my experience very good.
- A question for technologists: can we start an open-source cheat-detection engine that becomes the gold standard of cheat detection engines?
- Can we see the Lichess cheat detection stuff?
- Banned for cheating, appealed, denied. What now?
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Machine Learning for detecting anomalies in chess
Isnt't lichess' cheat detection an ML based system?
- Main Takeaways from the Chess.com Report
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Which site has better cheat detection?
What's this? It was given as an answer on a question about this on lichess https://github.com/clarkerubber/irwin
kaggle-environments
- Data Science Roadmap with Free Study Material
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Help needed! My first hackathon
If you are interested in Data Science, you may want to look at Kaggle competitions. https://www.kaggle.com/competitions
- What's a statistical / research methodology, that's not usually taught in grad programs, that you think more IO's should be aware about?
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Freaking out about how I’m inexperienced to land an internship and eventually a job
Secondly, if you feel like you do not have enough skills or a lack of practice answering problem statements, there are a lot of good websites where you can find interesting projects. I would recommend starting participating in some Kaggle competitions or download some free Google datasets and start playing with them.
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Capitalism provides half-assed solutions to extinction-level problems caused by capitalism
For reference: Kaggle is a Google product. You can see the list of current competitions here.
- Where can neural networks take me? - Semi-existential crisis
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What Can I Do With My Time as a Substitute for Strategy Computer Games?
You could try Kaggle competitions, or participating in forecasting markets (as you stated) is another option. You don't need any specific skill set to be a forecaster, the rules of the bet are stipulated and from there it's just based on your ability to predict the outcome. You could also try your hand at investing in the stock market, or try and make money betting on sports games. If you're very good at this stuff I'm sure you can make a lot of money doing it. The thing to keep in mind is that generally video games are much much easier than real life
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What is the best advanced professional certification for Data Science/ML/DL/MLOps?
As to the specifics of your projects, that's up to you. Try browsing Kaggle; check out some of the work we have on The Pudding; check out some journalism examples to see what you can try to build on or improve.
- Suggestions for projects on kaggle for cv?
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Hi! Im doing research on AI innovation. Does anybody know any specific platform where I can learn/understand and get case studies or on-going projects that companies are implementing? Thanks for your help!
You might want to look at kaggle competitions.
What are some alternatives?
nnue-pytorch - Stockfish NNUE (Chess evaluation) trainer in Pytorch
CKAN - CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data.humdata.org among many other sites.
lichess-bot - A bridge between Lichess API and chess engines
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
python-chess-annotator - Reads chess games in PGN format and adds annotations using an engine
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
kaladin - Machine learning tool aimed at automating cheat detection using insights data.
docarray - Represent, send, store and search multimodal data
anarchychess-bot - The (un)official Lichess bot of r/AnarchyChess. Plays the Ruy Lopez, always captures en passant, never plays rook a4, and plays ke2!!/ke7!! when possible.
datasci-ctf - A capture-the-flag exercise based on data analysis challenges
pychess - PyChess - a chess client for Linux/Windows
dremio-oss - Dremio - the missing link in modern data