attention-is-all-you-need

#自然语言处理#A PyTorch implementation of the Transformer model in "Attention is All You Need".

A TensorFlow Implementation of the Transformer: Attention Is All You Need

#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...

list of efficient attention modules

#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