Microsoft VALL-E X 零样本 TTS 模型的开源实现。演示可在 https://plachtaa.github.io/vallex/ 获取
transformer-architecture 开源项目推荐(543 个)
transformer-architecture 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 543 个仓库An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Inference Llama 2 in one file of pure 🔥
Self-contained Machine Learning and Natural Language Processing library in Go
Code for CRATE (Coding RAte reduction TransformEr).
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
Implementation of the Swin Transformer in PyTorch.
用于教育目的的极简 NMT
The repository of ET-BERT, a network traffic classification model on encrypted traffic. The work has been accepted as The Web Conference (WWW) 2022 accepted paper.
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
Build high-performance AI models with modular building blocks
🌕 [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.
[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.
A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.
关于《注意力就是你所需要的》视频笔记(https://www.youtube.com/watch?v=bCz4OMemCcA)
关注就是你所需要的全部 |PyTorch 变形金刚教程
SeqFormer: Sequential Transformer for Video Instance Segmentation (ECCV 2022 Oral)
PyContinual (An Easy and Extendible Framework for Continual Learning)
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/transformer-architecture。
- 该话题在 GitHub 上共有 543 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2.7 万 Star,覆盖 4 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。