Alex-DeepL's Stars
gitabtion/BertBasedCorrectionModels
PyTorch impelementations of BERT-based Spelling Error Correction Models. 基于BERT的文本纠错模型,使用PyTorch实现。
taoztw/Transformer
pytorch实现Transformer,提供机器翻译案例和简单的翻译api接口(flask)。评分组件使用BLEU。
adultfree/pornhub
Pornhub网站爬虫
elviswf/DeepLearningBookQA_cn
深度学习面试问题 回答对应的DeepLearning中文版页码
GussailRaat/EMNLP-18-MMMU-BA
Contextual Inter-modal Attention for Multi-modal Sentiment Analysis
TmacMai/Multimodal-Information-Bottleneck
Multimodal Information Bottleneck: Learning Minimal Sufficient Unimodal and Multimodal Representations (MIB for multimodal sentiment analysis)
bo-miao/SgMg
[ICCV 2023] Spectrum-guided Multi-granularity Referring Video Object Segmentation.
georgepar/mmlatch
Code for MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment Analysis https://arxiv.org/abs/2201.09828 (to be presented in ICASSP 2022)
yaohungt/Multimodal-Transformer
[ACL'19] [PyTorch] Multimodal Transformer
xkwangcn/ABAW-5th-RT-IAI
Xia-code/Textual-modality-description
SilyRab/AoM
Codes for AoM: Detecting Aspect-oriented Information for Multimodal Aspect-Based Sentiment Analysis
Teng-Sun/GEAR
junpengxu/Apollo
python flask vue-element-admin selenium 爬虫 后台
declare-lab/Multimodal-Infomax
This repository contains the official implementation code of the paper Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis, accepted at EMNLP 2021.
thuiar/Self-MM
Codes for paper "Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis"
thuiar/MMSA
MMSA is a unified framework for Multimodal Sentiment Analysis.
EIHW/MuSe-2023
belgats/Arabic-Multimodal-Dataset
Arabic Multimodal Dataset for Sentiment Analysis
rmokady/CLIP_prefix_caption
Simple image captioning model
spathakk21/Stable-diffusion-image-to-prompts-VLG
Made a Image to Text Generator model which is tries to caption AI generated Images.
JhihJian/Bilibili-Video-Extract
下载B站排行榜视频,抽取关键帧保存
buxiangzhiren/DDCap
vinevix/Discrete-Diffusion-Model-for-Image-Captioning-By-Self-Critical-Learning
Discrete Diffusion Model utilized for Image Captioning is trained using the Self-Critical learning which is a reinforcement learning approach based on CIDEr metric.
jiajunhua/longpeng2008_yousan-ai
dmlc/decord
An efficient video loader for deep learning with smart shuffling that's super easy to digest
kakaobrain/magvlt
The official implementation of MAGVLT: Masked Generative Vision-and-Language Transformer (CVPR'23)
YCG09/chinese_ocr
CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.