mctx
Monte Carlo tree search in JAX (by google-deepmind)
leela-zero
Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper. (by leela-zero)
| mctx | leela-zero | |
|---|---|---|
| 10 | 11 | |
| 2,209 | 5,225 | |
| 1.4% | 0.0% | |
| 0.0 | 0.0 | |
| 3 months ago | about 1 year ago | |
| Python | C++ | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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.
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.
mctx
Posts with mentions or reviews of mctx.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-15.
- About Monte Carlo tree search in Jax
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Programming language dilemma
Maybe you can have your cake and eat it too. :) You could use Python with one of the hardware accelerating languages like Jax. This project for example uses Jax to implement Monte Carlo Tree Search and includes a few games as examples. https://github.com/deepmind/mctx
-
Is there any proof that AlphaZero actually exist?
recently tree search part of alpha zero has gone open source https://github.com/deepmind/mctx
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[D] Anyone interested in training an AI for Tigris and Euphrates?
You could try starting with https://github.com/deepmind/mctx. You’ll probably need to expose your game state and actions via IPC of some sort or FFI your rust code to Python.
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DeepMind has open-sourced the heart of AlphaGo and AlphaZero
Interesting approach to private variables https://github.com/deepmind/mctx/blob/577fc77a3cda1b796e277e...
- AlphaZero's Monte Carlo tree search implementation in Jax
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Anyone found any working replication repo for MuZero?
Just have a look at the DM repo: https://github.com/deepmind/mctx
- MuZero Implementation
- Official DeepMind MuZero Implementation
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Finally an official MuZero implementation
deepmind/mctx: Monte Carlo tree search in JAX (github.com)
leela-zero
Posts with mentions or reviews of leela-zero.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-27.
-
I guess I have mastered the AI attack
https://github.com/leela-zero/leela-zero but it is not user friendly imo
- DailyMotion ont ils un boulevard devant eux ?
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Human Go players beat top Go AIs using a "trick"
Yeah, see https://github.com/leela-zero/leela-zero/pull/883 for the discussions near the origin of this idea, which Leela Zero was the first to use many years ago. KataGo's implementation is a bit different in minor ways, but still based on the same mathematical idea. https://github.com/lightvector/KataGo/blob/master/cpp/search/searchhelpers.cpp#L482
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DeepMind has open-sourced the heart of AlphaGo and AlphaZero
Totally agree. I don't even know what benefit they'd get at this point from keeping some parts locked up.
Anyway if you want something runnable Leela has a nice reimplementation: https://github.com/leela-zero/leela-zero
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Please help me settle an argument with my friend about KataGo
See https://github.com/leela-zero/leela-zero/issues/2445 for an example with Leela Zero failing to see an atari, even *with* tons of search. This is a similar issue - neural nets have a hard time perceiving things that depend sensitively on large areas when unusual shapes are involved.
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Go-playing trick defeats world-class Go AI—but loses to human amateurs
(https://github.com/leela-zero/leela-zero/issues/2273)
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The blue recommended move was there like most the game screaming at me for not playing it. This doesn't look that big though? Why would this be significant?
I think it's Leela https://github.com/leela-zero/leela-zero
- 【推荐交流帖】键政累了，大家一人推荐一个翻墙后常上的网站吧
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[D] How OpenAI Sold its Soul for $1 Billion: The company behind GPT-3 and Codex isn’t as open as it claims.
There is Leela Zero
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Lizzie Suggests Moves Off Board in 9x9 Game
Yeah, it looks like I need to recompile Leela Zero with a 9x9 board size? https://github.com/leela-zero/leela-zero/pull/928 (and https://github.com/leela-zero/leela-zero/issues/2613)
What are some alternatives?
When comparing mctx and leela-zero you can also consider the following projects:
EfficientZero - Fork of EfficientZero to use newer libraries and to fix a few runtime bugs. Also includes pretrained models!
KataGo - GTP engine and self-play learning in Go
minihack - MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research
alpha-zero-boosted - A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
opensea-js - TypeScript SDK for the OpenSea marketplace
koneko - 🐈🌐 nyaa.si terminal BitTorrent tracker
craftingway - A ffxiv crafting tool
leela-zero - Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.
omega - A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environments.
hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.