Transformer topic
A transformer is a deep learning architecture based on self-attention mechanisms, designed to process sequential data in parallel. Transformers are the foundation of modern large language models and are widely used in natural language processing, computer vision, and generative AI.
k-plug
K-PLUG: Knowledge-injected Pre-trained Language Model for Natural Language Understanding and Generation in E-Commerce (Findings of EMNLP 2021)
sightseq
Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection
densecap
Dense video captioning in PyTorch
laravel-responder
A Laravel Fractal package for building API responses, giving you the power of Fractal with Laravel's elegancy.
backtick-template
ES2015 backticks for ES3+ engines
are-16-heads-really-better-than-1
Code for the paper "Are Sixteen Heads Really Better than One?"
ICT
High-Fidelity Pluralistic Image Completion with Transformers (ICCV 2021)
CORD-19-ANN
ANN Search through the COVID CORD-19 Dataset using SBERT.
transformer
Transformer: PyTorch Implementation of "Attention Is All You Need"