#自然语言处理#A PyTorch implementation of the Transformer model in "Attention is All You Need".
翻译 - “注意就是您所需要的一切”中Transformer模型的PyTorch实现。
A TensorFlow Implementation of the Transformer: Attention Is All You Need
翻译 - 变压器的TensorFlow实现:注意就是您所需要的
#计算机科学#Multilingual Automatic Speech Recognition with word-level timestamps and confidence
#计算机科学#Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
#计算机科学#My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pret...
翻译 - 我对原始变压器模型的实现(Vaswani等)。另外,我还包括了parker.py文件,用于可视化本来似乎很难的概念。当前包括IWSLT预训练模型。
list of efficient attention modules
翻译 - 有效关注模块列表
#自然语言处理#Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
Attention is all you need implementation
A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.
#计算机科学#A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need
#大语言模型#Implementation of plug in and play Attention from "LongNet: Scaling Transformers to 1,000,000,000 Tokens"
Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.
A Benchmark of Text Classification in PyTorch
A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"
#计算机科学#Neural Machine Translation with Keras
USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference
An open source implementation of "Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning", an all-new multi modal AI that uses just a decoder to generate both text and images
#计算机科学#Implementation of the ScreenAI model from the paper: "A Vision-Language Model for UI and Infographics Understanding"
[CVPR 2024] Official implementation of CVPR 2024 paper: "Inversion-Free Image Editing with Natural Language"
Attention Is All You Need | a PyTorch Tutorial to Transformers