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Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

No fortress, purely open ground. OpenManus is Coming.

Ultralytics YOLO 🚀

Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

OpenMMLab Detection Toolbox and Benchmark

Cross-platform, customizable ML solutions for live and streaming media.

Real-time face swap for PC streaming or video calls

Official inference repo for FLUX.1 models

Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

Rembg is a tool to remove images background

PyTorch implementations of Generative Adversarial Networks.

✨✨Latest Advances on Multimodal Large Language Models

A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations

verl: Volcano Engine Reinforcement Learning for LLMs

"RAG-Anything: All-in-One RAG Framework"

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

基于AI的图片/视频硬字幕去除、文本水印去除，无损分辨率生成去字幕、去水印后的图片/视频文件。无需申请第三方API，本地实现。AI-based tool for removing hard-coded subtitles and text-like watermarks from videos or Pictures.

收藏的一些经典的历史、政治、心理、哲学、数学、计算机方面电子书(约10万本）

Multilingual Document Layout Parsing in a Single Vision-Language Model

[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥

General technology for enabling AI capabilities w/ LLMs and MLLMs

A python module to repair invalid JSON from LLMs

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

A Python-based Xiaozhi AI for users who want the full Xiaozhi experience without owning specialized hardware.

Automated dense category annotation engine that serves as the initial semantic labeling for the Segment Anything dataset (SA-1B).