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Starred repositories
哔哔君 - 哔哩哔哩字幕列表浏览器扩展,功能包括点击跳转,下载字幕,总结字幕,翻译字幕等。
This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headles…
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
A fast tool to convert any website into LLM-ready markdown data. Built by https://supermemory.ai
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper
A quick guide (especially) for trending instruction finetuning datasets
[NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
Agent Laboratory is an end-to-end autonomous research workflow meant to assist you as the human researcher toward implementing your research ideas
General technology for enabling AI capabilities w/ LLMs and MLLMs
Code and results accompanying the paper "Refusal in Language Models Is Mediated by a Single Direction".
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
A collection of recent papers on building autonomous agent. Two topics included: RL-based / LLM-based agents.
Code for the paper "Evaluating Large Language Models Trained on Code"
TextStarCraft2,a pure language env which support llms play starcraft2
Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)
It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Get up and running with Llama 3.3, Phi 4, Gemma 2, and other large language models.
open sourced parts of the famous Rob2.0 project
Dockerfile to setup a Project Zomboid dedicated server
A language server that offers Lua language support - programmed in Lua
Minecraft environment for Open AI Gym, based on Microsoft's Malmo.
Simple and easily configurable grid world environments for reinforcement learning