irwin
kaggle-environments
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irwin | kaggle-environments | |
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57 | 55 | |
486 | 273 | |
- | 2.6% | |
0.0 | 6.6 | |
over 1 year ago | 15 days ago | |
Python | Jupyter Notebook | |
GNU Affero General Public License v3.0 | Apache License 2.0 |
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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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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)
- 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?
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Machine Learning for detecting anomalies in chess
Isnt't lichess' cheat detection an ML based system?
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Governance bodies as private companies: a wrinkle in the Carlsen-Niemann drama
It's probably more of a security by obscurity thing - withholding technical details in order to protect the system. Lichess takes the opposite tactic of open security, where they not only openly publish their cheat detection methods, but encourage people to try and crack it so they can fix the flaws and make it stronger in response.
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Danny Rensch explains how Chess.com's anti-cheat detection works (on Hikaru's stream)
Here's the lichess anticheat AI if anyone's interested. It's supposed to be a guide though, so when you report players it gives an estimate about whether they are probably a cheater or you were just mad about losing and reported and the cases it flags as cheaters are then dealt with by humans. Whatever algorithm you choose, you still need a human in there somewhere for moderation because false positives are a thing and for top players it could have terrible impact on their careers so you have to be sure.
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The Chess World Isn’t Ready for a Cheating Scandal
Lichess is fully open-source and thus is their cheat-detection. They use https://github.com/clarkerubber/irwin which is a statistical model (tensorflow AI). This basically detects things such as using too much time on trivial moves such as forced captures, or other out-of-character moves.
kaggle-environments
- 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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Me: I'm always going to code for fun, even after I start working! Also me:
There are literally hundreds... Google competitive programming
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Machine Learning for detecting anomalies in chess
Kaggle: a platform for machine learning research where competitions are often hosted. There are A LOT of previous competitions you can look at and the prize funds associated with them. Companies like Zillow have participated, and you sincerely get the best practitioners applying their skills here.
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Hi! We are Dr. Amanda Martin and JJ Brosnan, Developer and Python data scientist at Deephaven. Ask us anything about getting started in the data science industry, working with large data sets, and working with streaming data in Python.
You mentioned looking at Kaggle. Did you look at the competitions? Here's the webpage. There are many that are currently going on, and many from the past that you can draw inspiration from (or solve yourself).
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Data Science Competition
Kaggle
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I'm a yr12 and I think I chose the wrong subjects subjects for what I want to do later. Pls help.
If you simply mess around at home with Raspberry Pi projects, do Kaggle competitions for fun, work through Project Euler (seriously, a friend of mine did that and it lead to him switching careers from working as a doctor to landing a software developer job!), and whatever similar kind of stuff takes your fancy (watch Fireship to get lots of 100 second overviews of topics) will put you waaaaay ahead of someone who does High School "computing".
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egg👉👈irl
I am into AI research/related competitions [2] [3] based on real world applications too though and there I do prioritise maintaining proper logs, readability and all that jargon
What are some alternatives?
nnue-pytorch - Stockfish NNUE (Chess evaluation) trainer in Pytorch
lichess-bot - A bridge between Lichess API and chess engines
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.
python-chess-annotator - Reads chess games in PGN format and adds annotations using an engine
kaladin - Machine learning tool aimed at automating cheat detection using insights 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.
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Auto-Chess - A chess bot that automatically calculates the best moves and plays them for you
pychess - PyChess - a chess client for Linux/Windows
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
lila - ♞ lichess.org: the forever free, adless and open source chess server ♞
libmelee - Open Python 3 API for making your own Smash Bros: Melee AI that works with Slippi Online