sunfish
spaCy
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sunfish | spaCy | |
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12 | 106 | |
2,885 | 28,704 | |
- | 1.3% | |
2.5 | 9.2 | |
3 months ago | 9 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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.
sunfish
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funAndEasyToUse
The NNUE version does but the non-NNUE version doesn't use numpy. That numpy import is for a neural network based evaluation functions. The base engine still plays at a strong human level and doesn't use numpy to do any of the heavy lifting. It does rely on itertools and collections though.
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Python is slow, garbage language!
I'm currently working on a chess bot in C++. The literature and common sense tells you that faster is better, which was my main reason for choosing C++. Then I discovered Sunfish on GitHub that in around 400 lines of Python (without any low level libraries like ctypes) and it still beat me somewhat convincingly. It was definitely fast enough.
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Easy to read chess engine source code
Just one file: Sunfish.py
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This Week In Python
sunfish – A Python Chess Engine in 111 lines of code
- Sunfish is a simple, but strong chess engine, written in Python
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Looking for mod friendly python chess program.
https://github.com/thomasahle/sunfish sunfish is a pretty simple one that uses piece square tables for evaluating positions. Wouldn’t be too difficult to change or even tune
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sunfish VS Synergy-Chess - a user suggested alternative
2 projects | 17 Jun 2022
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Look what I found here. I used to play with it a lot because I have no friends. Do you guys have something similar?
It's from 1990. My father passed it down to me. It works... Uhmm.. idk. There's a proprietary chess engine built in. It says it's around 1700 elo points strong. I am a big noob when it comes to chess engines but if you're interested in learning you can check out sunfish , but (Python) programming skills are required.
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The Kilobyte's Gambit: Can you beat 1024 bytes of JavaScript [at chess]?
Incomprehensible scheiße code. I looked around and I like this one because it has "meta-level" definition of movements and liitle bit of strategy. You could implement context-free chess games with varying rules for us congenitally lazy and dull-witted. https://github.com/thomasahle/sunfish/blob/master/sunfish.py
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Can you defeat a chess engine written in 1KB of Javascript?
sunfish https://github.com/thomasahle/sunfish (sunfish is the most compact and still understandable code in my opinion)
spaCy
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Step by step guide to create customized chatbot by using spaCy (Python NLP library)
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):
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Best AI SEO Tools for NLP Content Optimization
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging.
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Who has the best documentation you’ve seen or like in 2023
spaCy https://spacy.io/
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A beginner’s guide to sentiment analysis using OceanBase and spaCy
In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy.
- Retrieval Augmented Generation (RAG): How To Get AI Models Learn Your Data & Give You Answers
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Against LLM Maximalism
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post.
The steps described in "LLM pragmatism" are basically what I see my data science friends doing — it's hard to justify the cost (money and latency) in using LLMs directly for all tasks, and even if you want to you'll need a baseline model to compare against, so why not use LLMs for dataset creation or augmentation in order to train a classic supervised model?
[0] https://spacy.io/
[1] https://prodi.gy/
- Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
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How to predict this sequence?
spaCy
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What do you all think about (setq sentence-end-double-space nil)?
I chose spacy. Although it's not state of the art, it's very well established and stable.
- spaCy: Industrial-Strength Natural Language Processing
What are some alternatives?
stockfish - Integrates the Stockfish chess engine with Python
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Auto-Chess - A chess bot that automatically calculates the best moves and plays them for you
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Synergy-Chess - system that allows you to simultaneously start 8 chess engines and obtain a single move through the majority criteria and of score.
NLTK - NLTK Source
nanochess - Deobfuscation of the Toledo Javascript Chess
BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT
Play-online-chess-with-real-chess-board - Program that enables you to play online chess using real chess boards.
polyglot - Multilingual text (NLP) processing toolkit
bootOS - bootOS is a monolithic operating system in 512 bytes of x86 machine code.
textacy - NLP, before and after spaCy