SOTA是state of the art的缩写，指某特定时间背景下的最高水准。例如，SOTA model 最先进的模型。 benchmark通常指的是一个（标准的）衡量规定或是评估标准。具体的可以理解成，在某个标准的数 …

_Made with ♥️ by Chatterbox is a family of three state-of-the-art, open-source text-to-speech models by Resemble AI. We are excited to introduce Chatterbox-Turbo, our most efficient model yet. Built on …

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS. - Deci-AI/super-gradients

This repository offers a growing collection of computer vision tutorials. Learn to use SOTA models like YOLOv11, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5-VL for tasks ranging from object …

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models …

截至当前，强化学习领域的SOTA算法是由清华大学于2021年被提出并发表的 Distributional Soft Actor-Critic（DSAC） 算法。 DSAC 构建在最大熵强化学习框架 （Soft Actor-Critic，SAC） 的基础上，引 …

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or …

RF-DETR: Real-Time SOTA Detection and Segmentation RF-DETR is a real-time transformer architecture for object detection and instance segmentation developed by Roboflow. Built on a …

可以通过以下方法来查询自己细分方向论文的sota方法： 在学术网站（如Google Scholar、SCI-Hub等）中搜索相关关键词，查询最新或热门的论文。 在学术会议或期刊网站中搜索相关领域的论文，查 …

A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc. - …