fmc123653 / Deep-learningLinks
Share some deep learning knowledge and reproduce the model framework
☆32Updated 4 years ago
Alternatives and similar repositories for Deep-learning
Users that are interested in Deep-learning are comparing it to the libraries listed below
Sorting:
- 使用pytorch完成的一个多模态分类任务,文本和图像部分分别使用了bert和resnet提取特征(在config里可以组合多种模型),在我的小规模数据集上取得了良好的性能(验证集acc96%)☆82Updated 2 years ago
- Transformer在CV和NLP领域的变体模型的从零解读:Transformer;VIT;Swin Transformer☆336Updated 3 years ago
- 多模态情感分析——基于BERT+ResNet的多种融合方法☆339Updated 3 years ago
- 蜻蜓点论文 Think不Clear, 论文解读视频上传B站, youtube, 西瓜视频(同步到抖音)☆251Updated 2 years ago
- a super easy clip model with mnist dataset for study☆154Updated last year
- LSTM_poetry_generate☆27Updated 4 years ago
- Code for UniS-MMC: Multimodal Classification via Unimodality-supervised Multimodal Contrastive Learning (ACL 2023)☆38Updated last year
- 细粒度图像分类之十二猫分类,对比ResNet和ViT两者模型性能。☆45Updated 3 years ago
- 学习深度学习不如边写代码边学习,实际操作一遍才能理解数据的变换过程,参数的训练过程,这里整合了B站的jupter代码,可以结合着B站的视频 边看边练,希望能对大家有帮助。☆138Updated 3 years ago
- ☆126Updated 6 months ago
- ☆15Updated last year
- Submission file of Elsevier.☆170Updated 2 years ago
- A published large-scale dataset - Weibo User Depression Detection Dataset.☆102Updated last month
- Using Bert/Roberta + LSTM/GRU/BiLSTM/TextCNN to do the sentiment analysis on the imdb datasets.☆148Updated 2 years ago
- 多模态数据融合:为了完成多模态数据融合,首先利用VGG16网络和cifar10数据集完成多输入网络的分类,在VGG16的基础之上,将前三层特征提取网络作为不同输入的特征提取网络,在中间层进行特征拼接,后面的卷积层用于提取融合特征,最后加上全连接层。该网络稍作修改就能同时提取…☆99Updated 5 years ago
- ☆21Updated 3 years ago
- pytorch☆54Updated 2 years ago
- transformer,机器翻译,中文--英文☆81Updated 2 years ago
- ☆71Updated 3 years ago
- 使用pytorch复现vit模型(图像分类)☆29Updated 3 years ago
- 采用vit实现图像分类☆28Updated 2 years ago
- 博客配套视频链接: https://space.bilibili.com/383551518?spm_id_from=333.1007.0.0 b 站直接看 配套 github 链接:https://github.com/nickchen121/Pre-trainin…☆481Updated 3 years ago
- zglxjtu / Baidu-Business-AI-Technology-Innovation-Competition-Track-2-Advertising-Image-Description-Generation百度商业AI技术创新大赛赛道二:广告图片描述生成 Rank3方案分享☆11Updated last year
- 本项目采用多模态特征融合和引入外部知识的方式来检测短视频谣言,创新性地引入了对比学习的方式实现了谣言的区分☆27Updated 2 years ago
- Implementation of some unbalanced loss like focal_loss, dice_loss, DSC Loss, GHM Loss et.al☆268Updated 2 years ago
- GAIIC赛道一:影像学 NLP — 医学影像诊断报告生成 [A100换你大棚甜瓜 Rank-12 方案]☆66Updated 2 years ago
- A baseline for Weibo User Depression Detection Dataset (WU3D)☆35Updated 3 years ago
- 这里用来存储做人工智能项目的代码和参加数据挖掘比赛的代码☆109Updated 5 months ago
- 深度学习与PyTorch入门实战视频教程 配套源代码和PPT☆78Updated 6 years ago
- Pytorch_Learning_Notes☆102Updated 9 months ago