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- SOTA，benchmark和baseline分别是什么意思？ - 知乎
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，在某个标准的数据集上用某种规定的方式（进行实验）并且用某几个指标来衡量算法的性能，这样规定被称为benchmark。
- State-of-the-art result for all Machine Learning Problems
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machine learning problems We do our best to keep this repository up to date If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year) W…
- sota · GitHub Topics · GitHub
A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings This project grows with the research community, aiming to achieve the ultimate TTS
- FireRedASR: Open-Source Industrial-Grade - GitHub
FireRedASR is a family of open-source industrial-grade automatic speech recognition (ASR) models supporting Mandarin, Chinese dialects and English, achieving a new state-of-the-art (SOTA) on public Mandarin ASR benchmarks, while also offering outstanding singing lyrics recognition capability
- Lextal SotA-CV: A repository of state-of-the-art deep learning . . . - GitHub
SotA-CV A repository of state-of-the-art deep learning results in computer vision It aims to collect and maintain up-to-date information on the latest developments in in computer vision, facilitating the research effort in deep learning
- GitHub - stepfun-ai Step1X-Edit: A SOTA open-source image editing model . . .
A SOTA open-source image editing model, which aims to provide comparable performance against the closed-source models like GPT-4o and Gemini 2 Flash - stepfun-ai Step1X-Edit
- Uncertainty Baselines - GitHub
High-quality implementations of standard and SOTA methods on a variety of tasks - google uncertainty-baselines
- Implementation of SOTA Deep Anomaly Detection Methods
In this repository, we provide a continuously updated collection of implementation of SOTA deep anomaly detection methods in the literature This list was originally collected and presented in our CSUR survey paper on deep anomaly detection This repository is created to serve as an extension to that list
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