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https://github.com/rexionmars/volts
AI Research for Chess Competion iCev ♚
https://github.com/rexionmars/volts
chess-ai chess-engine deep-learning neural-network reinforcement-learning
Last synced: about 10 hours ago
JSON representation
AI Research for Chess Competion iCev ♚
- Host: GitHub
- URL: https://github.com/rexionmars/volts
- Owner: rexionmars
- License: gpl-2.0
- Created: 2023-11-08T23:43:44.000Z (about 1 year ago)
- Default Branch: master
- Last Pushed: 2023-12-06T10:39:38.000Z (12 months ago)
- Last Synced: 2024-05-01T22:38:08.954Z (7 months ago)
- Topics: chess-ai, chess-engine, deep-learning, neural-network, reinforcement-learning
- Language: Python
- Homepage: https://docs.google.com/document/d/1BaSeJDyDw43md1oZgxAZlWXOudIw60nu/edit?pli=1
- Size: 3.27 MB
- Stars: 0
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
README
VOLTS ENGINE INFERENCE ⚡️
Este projeto permite a integração de varias engines voltadas para competições de xadrez, contem suporte a interface grafica, estatisticas de jogo, com suporte para CPU e GPU (nvidia series 30), com o protoloco UCI.
{joao_leonardi.melo, enzo.goncalves, joao_vinicius.carvalho}@somosicev.com
## Suporte e hardware utilizado 💻
Este projeto está sendo desenvolvido inicialmente para a plataforma x86-64 amd64 Linux, ainda não tem previsão para o port de outras plataformas.
Hardware principal usado no desenvolvimento atual:
```sh
OS: Linux x86-64 amd4 Kernel 6.2 Genric
CPU: 12th Gen Intel® Core™ i5-12450H × 12
GPU: NVIDIA RTX 3050 Mobile Cuda cores: 2048 Neural Optimization
Mem: 24.0 GiB
TGP: 95W
```
## Plataformas Suportadas 💻
- [X] Linux
- [X] Windows (WSL)
- [ ] MacOS
## Features Hardware (beta) 🛠
- [x] Aceleração via CPU (intel)
- [x] Aceleração via GPU (nvidia)
- [ ] AMD graphics OpenCL.
## Estrutura de pastas do projeto 📂
```lua
volts ⚡️
|
+--- engines/
| |
| +--- weights/
|
+--- performance/inference/
| |
| +--- utils/Utils.py
| +--- board.svg
| +--- main.py
|
+--- pyproject.toml
+--- README.md
+--- requeriments.txt
+--- ubuntu_deps.txt
```
## Avaliação em tempo real da partida
Profundidate x Tempo de Analise
Avaliação ao longo do tempo
Partida contra outra engine
## Projetos e papers usados como inspiração 📄
**Papers:**
Chess AI: Competing Paradigms for Machine Intelligence:
https://arxiv.org/pdf/2109.11602.pdf
Neural Networks for Chess
https://arxiv.org/pdf/2209.01506.pdf
**Bibliotecas**
*Autor: João Leonardi*
**Neural Network Library for C lang 🧠**
A collection of library for Deep Learning
https://github.com/rexionmars/neural-network-library
**CTorch 🔥**
A next library stb-style header-only library for Neural Networks
https://github.com/rexionmars/ctorch
# Autores
```lua
João Leonardi da Silva Melo
João Vinícius Castelo branco
Enzo Morais Gonçalves
Email:
[email protected]
[email protected]
[email protected]
```