Harold-lkk/Harold-lkk.github.io
Personal research homepage
ormerly focused on detection algorithms, now specializing in large language models.
Repositories
Harold-lkk/xtuner
A Next-Generation Training Engine Built for Ultra-Large MoE Models
Harold-lkk/open-open-reasoning
Harold-lkk/claude-code-source-code
Claude Code v2.1.88 Source Code
Harold-lkk/task_scheduler
Harold-lkk/lagent
A lightweight framework for building LLM-based agents
Harold-lkk/opc_data_filtering
Heuristic filtering framework for RefineCode
Harold-lkk/deepeval
The LLM Evaluation Framework
Harold-lkk/lkk.github.io
👑 LKKBlog.
Harold-lkk/benchmark
Harold-lkk/MindSearch
LLM-based Multi-agent Framework of AI Search Engine
Harold-lkk/AI-research-tools
:hammer:AI 方向好用的科研工具
Harold-lkk/TiddlyWiki5
A self-contained JavaScript wiki for the browser, Node.js, AWS Lambda etc.
Harold-lkk/dlc_run
Harold-lkk/Agent-FLAN
Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
Harold-lkk/AutoAgents
Generate different roles for GPTs to form a collaborative entity for complex tasks.
Harold-lkk/galactic
data cleaning and curation for unstructured text
Harold-lkk/lmdeploy
LMDeploy is a toolkit for compressing, deploying, and serving LLM
Harold-lkk/InternLM
InternLM has open-sourced a 7 billion parameter base model, a chat model tailored for practical scenarios and the training system.
Harold-lkk/HackOpenAISystemPrompts
Hack OpenAI LLMs' System Prompts By Reverse Prompt Engineering
Harold-lkk/Multimodal-GPT
Multimodal-GPT
Harold-lkk/langchain
⚡ Building applications with LLMs through composability ⚡
Harold-lkk/PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
Harold-lkk/Awesome-Parameter-Efficient-Transfer-Learning
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
Harold-lkk/Awesome_Prompting_Papers_in_Computer_Vision
A curated list of prompt-based paper in computer vision and vision-language learning.
Harold-lkk/DeltaPapers
Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.
Harold-lkk/benchmarking-chinese-text-recognition
This repository contains datasets and baselines for benchmarking Chinese text recognition.
Harold-lkk/mmtracking
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
Harold-lkk/mmeval
A unified evaluation library for multiple machine learning libraries
Harold-lkk/detectron2
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.