nochi | Minimalistic AlphaGoZero-like Engine
kandi X-RAY | nochi Summary
kandi X-RAY | nochi Summary
nochi is a Python library. nochi has no bugs, it has no vulnerabilities and it has low support. However nochi build file is not available. You can download it from GitHub.
Nochi is a fork of the Michi minimalistic Computer Go engine that replaces Monte Carlo simulations with a Keras neural model. It is an attempt to reproduce the AlphaGo Zero work on a small scale. It is by no means as polished as Michi, but might still be useful as an inspiration.
Nochi is a fork of the Michi minimalistic Computer Go engine that replaces Monte Carlo simulations with a Keras neural model. It is an attempt to reproduce the AlphaGo Zero work on a small scale. It is by no means as polished as Michi, but might still be useful as an inspiration.
Support
Quality
Security
License
Reuse
Support
nochi has a low active ecosystem.
It has 265 star(s) with 96 fork(s). There are 39 watchers for this library.
It had no major release in the last 12 months.
There are 3 open issues and 0 have been closed. On average issues are closed in 917 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of nochi is G171107T013304_000000150
Quality
nochi has 0 bugs and 34 code smells.
Security
nochi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
nochi code analysis shows 0 unresolved vulnerabilities.
There are 6 security hotspots that need review.
License
nochi does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
nochi releases are available to install and integrate.
nochi has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
nochi saves you 372 person hours of effort in developing the same functionality from scratch.
It has 888 lines of code, 67 functions and 3 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed nochi and discovered the below as its top functions. This is intended to give you an instant insight into nochi implemented functionality, and help decide if they suit your requirements.
- Read gtp file
- Find the contact position in a board
- Moves the player to the player
- Flushes the given character to the board
- Run the model
- Create the model
- Compute the identity block
- Fit a game
- Play a trained model
- Gathers all possible positions from a file
- Flip a random position
- Flip the current position horizontally
- Perform self - play self - play
- Play and train the given network
- The distribution of the node
- Generator for the game
- Perform selfplay
- Returns a list of all the points in the last move
- Return the distribution of a node
Get all kandi verified functions for this library.
nochi Key Features
No Key Features are available at this moment for nochi.
nochi Examples and Code Snippets
No Code Snippets are available at this moment for nochi.
Community Discussions
No Community Discussions are available at this moment for nochi.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install nochi
You can download it from GitHub.
You can use nochi like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use nochi like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page