A lightweight framework for building LLM-based agents

Heuristic filtering framework for RefineCode

The LLM Evaluation Framework

👑 LKKBlog.

LLM-based Multi-agent Framework of AI Search Engine

🔨AI 方向好用的科研工具

Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models

InternLM has open-sourced a 7 billion parameter base model, a chat model tailored for practical scenarios and the training system.

LMDeploy is a toolkit for compressing, deploying, and serving LLM

Generate different roles for GPTs to form a collaborative entity for complex tasks.

data cleaning and curation for unstructured text

Multimodal-GPT

Hack OpenAI LLMs' System Prompts By Reverse Prompt Engineering

OpenMMLab Text Detection, Recognition and Understanding Toolbox

⚡ Building applications with LLMs through composability ⚡

A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.

OpenMMLab Foundational Library for Training Deep Learning Models

A unified evaluation library for multiple machine learning libraries

Must-read papers on prompt-based tuning for pre-trained language models.

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.

A curated list of prompt-based paper in computer vision and vision-language learning.

OpenMMLab Computer Vision Foundation

This repository contains datasets and baselines for benchmarking Chinese text recognition.

Papers, Datasets, Algorithms, SOTA for STR. Long-time Maintaining

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.

OpenMMLab Image Classification Toolbox and Benchmark