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🤯 Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Azure / DeepSeek), Knowledge Base (file upload / knowledge manageme…
A one-stop, open-source, high-quality data extraction tool, supports PDF/webpage/e-book extraction.一站式开源高质量数据提取工具,支持PDF/网页/多格式电子书提取。
Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
Enhance Tesseract OCR output for scanned PDFs by applying Large Language Model (LLM) corrections.
Netease Youdao's open-source embedding and reranker models for RAG products.
A Comprehensive Toolkit for High-Quality PDF Content Extraction
✨✨VITA: Towards Open-Source Interactive Omni Multimodal LLM
[ECCV2024] Official implementation of the paper "When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset"
Official PyTorch implementation of SparseTrack (the new version of code will come soon)
Keylost / jetson-ffmpeg
Forked from jocover/jetson-ffmpegffmpeg support on jetson nano
SGLang is a fast serving framework for large language models and vision language models.
Real-time and accurate open-vocabulary end-to-end object detection
Enforce the output format (JSON Schema, Regex etc) of a language model
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
[ICCV 2023] MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking
TensorRT implementation of Depth-Anything V1, V2
WEB VIDEO PLATFORM是一个基于GB28181-2016标准实现的网络视频平台,支持NAT穿透,支持海康、大华、宇视等品牌的IPC、NVR、DVR接入。支持国标级联,支持rtsp/rtmp等视频流转发到国标平台,支持rtsp/rtmp等推流转发到国标平台。
轻量模型的图像分析web服务,包括倾斜矫正OCR,公章(印章)检测+识别,车牌识别。api方案使用FastAPI+Gunicorn,提供gradio展示。
🎉CUDA/C++ 笔记 / 技术博客: fp32、fp16/bf16、fp8/int8、flash_attn、sgemm、sgemv、warp/block reduce、dot prod、elementwise、softmax、layernorm、rmsnorm、hist etc.
Resources for Multiple Object Tracking (MOT)
Cost-efficient and fast multi-LLM serving.
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.