- London, United Kingdom
- in/art-kulakov
- https://medium.com/@artkulakov
Stars
Learn Domain-Driven Design, software architecture, design patterns, best practices. Code examples included
A generative world for general-purpose robotics & embodied AI learning.
Blazing fast cross-platform demo parser library for Counter-Strike 2 and Valve's Deadlock, written in C#.
A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
Dump selected files from your repo into single file to easily use in LLMs (Claude, Openai, etc..)
Comically fast Dota 2, CSGO, CS2 and Deadlock replay parser written in Java.
Easy token price estimates for 400+ LLMs. TokenOps.
You like pytorch? You like micrograd? You love tinygrad! ❤️
GitHub action (and command line script) to deploy apps to Elastic Beanstalk
React components for efficiently rendering large lists and tabular data
Data validation using Python type hints
🐠 A React Hook to handle exit intent strategies
A consumable package to (heavy-handedly) scrape data from csgostats.gg
Counter Strike: Global Offensive ShareCode decoder
A Node.js module to connect to and interact with the CS2 game coordinator. Mostly used to get item data.
Allows interaction with the Steam network via the Steam client protocol
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.
Counter-Strike 2 replay parser for Python and JavaScript
👑 Automatically tracked Steam, CS2, Dota 2, Deadlock, TF2 protobufs.
Interface directly with Steam servers from Node.js