rvqa

R-VQA: Visual Question Answering with Relation Facts

scenegraph

Scene Graphs with Permutation-Invariant Structured Prediction

sdne

This is a implementation of SDNE (Structural Deep Network embedding)

season1

Jiphyeonjeon Season 1

sentence-transformers

Sentence Embeddings with BERT & XLNet

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

seproject

seq2seq-chatbot

Chatbot in 200 lines of code using TensorLayer

sk_nugu_chatbot

SK NUGU play kit 용 챗봇 모음 / 2019년 NUGU개발공모전 다작상 수상.

softwarese_webproject

사진유통시스템

spanbert

Code for using and evaluating SpanBERT.

spotlight

Deep recommender models using PyTorch.

stcka

Reproducing the paper — Deep Short Text Classification with Knowledge Powered Attention

t-academy

T-Academy summary

tab-vcr

Tags, Attributes and joint Embedding model for Visual Commonsense Reasoning

tech-interview-for-developer

👶🏻 신입 개발자 전공 지식 & 기술 면접 백과사전 📖

technet

Technology Semantic Network (TechNet)

tensorflow

An Open Source Machine Learning Framework for Everyone

text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

text_classification

Text Classification Algorithms: A Survey

tiago_robot

tokenizers

💥Fast State-of-the-Art Tokenizers optimized for Research and Production

torch-multi-head-attention

Multi-head attention in PyTorch

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

tutorial_tensorflow

Name

uniter

Research code for "UNITER: Learning UNiversal Image-TExt Representations"

vc-r-cnn

The official pytorch implementation of CVPR 2020 ``Visual Commonsense R-CNN''

vcr-shortcut-effects-study

Code and data of our AAAI2021 paper "A Case Study of the Shortcut Effects in Visual Commonsense Reasoning"

vctree-scene-graph-generation

Code for the Scene Graph Generation part of CVPR 2019 oral paper: "Learning to Compose Dynamic Tree Structures for Visual Contexts"

videograph

VideoGraph: Recognizing Minutes-Long Human Activities in Videos, ICCV 2019 Workshop