微软VALL-E X 零样本语音合成模型的开源实现
#Awesome#An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Inference Llama 2 in one file of pure 🔥
#自然语言处理#Self-contained Machine Learning and Natural Language Processing library in Go
翻译 - spaGO是一个用Go语言编写的美观且可维护的机器学习库,旨在在自然语言处理任务中支持相关的神经网络架构
#计算机科学#Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
Code for CRATE (Coding RAte reduction TransformEr).
#大语言模型#Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
#计算机科学#Implementation of the Swin Transformer in PyTorch.
翻译 - 在PyTorch中实现Swin变压器。
Minimalist NMT for educational purposes
🌕 [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-pro...
CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation
#计算机科学#[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...
#计算机科学#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.
#自然语言处理#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...
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.
SeqFormer: Sequential Transformer for Video Instance Segmentation (ECCV 2022 Oral)
翻译 - SeqFormer:令人沮丧的简单视频实例分割模型
#自然语言处理#PyContinual (An Easy and Extendible Framework for Continual Learning)
Attention Is All You Need | a PyTorch Tutorial to Transformers
IEEE TNNLS 2021, transformer, multi-graph transformer, graph, graph classification, sketch recognition, sketch classification, free-hand sketch, official code of the paper "Multi-Graph Transformer fo...