TANG16's repositories
attn-fs-archs
This repo contains the developed architectures involved in the exploration of attention as feature selection
attention_keras
Keras Layer implementation of Attention
AttentionGAN
AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation
AWN-LDL
Attention-Weighted Neighborhood for Label Distribution Learning
BLIP
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
C-Tran
General Multi-label Image Classification with Transformers
CoTNet
This is an official implementation for "Contextual Transformer Networks for Visual Recognition".
CVPR2022-Papers-with-Code-Demo
收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！
DeepLearning-TensorFlow2
本专栏我将使用谷歌TensorFlow2.0框架逐一复现经典的卷积神经网络：LeNet、AlexNet、VGG系列、GooLeNet、ResNet 系列、DenseNet 系列，以及现在比较流行的：RCNN系列、SSD、YOLO系列等。
GOLFS
The python tools for GOLFS: Feature Selection via Combining Both Global and Local Information for High Dimensional Clustering
LDL-1
label distribution learning
LM-MLC
Label Mask for Multi-label Classification
MGTN
2021 AAAI Modular Graph Transformer Networks for Multi-Label Image Classification; Official GitHub: https://github.com/ReML-AI/MGTN
open-aff
code and trained models for "Attentional Feature Fusion"
PAI-RAG
基于大语言模型和多向量数据库的知识库问答系统白盒化解决方案
PMU
[Pattern Recognition Letters, 2013]Feature Selection for Multi-label Classification using Multivariate Mutual Information
Positive-and-Unlabeled-Learning-from-Imbalanced-Data
Code for the paper named "Positive-Unlabeled Learning from Imbalanced Data" which has been accepted by IJCAI-21
Semi-Supervised-LFs-Subset-Selection
This repository contains source code of our arxiv paper **Data Programming using Semi-Supervision and Subset Selection** https://arxiv.org/abs/2008.09887
stable-diffusion
这是一个stable-diffusion的库。
ToMV-KELM-Classifier
A KELM(Kernel Extreme Learning Machine) based Tomato Mosaic Virus Leaf Classifier
Transfer-Learning-in-keras---custom-data
Implementing Transfer Learning for custom data using VGG-16 and Resnet-50
U2PL
[CVPR 2022] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
Video-Classification-and-Captioning
Proposing an innovative video classification and captioning system with keyframe extraction and transfer learning
weed-crop-detection-using-yoloV4
This project implements an object detection system based on the YOLOv4 (You Only Look Once) algorithm for the detection and classification of weeds and crops in agricultural fields. The aim is to provide a reliable and efficient tool for farmers to identify and manage weed populations, enabling targeted and optimized use of herbicides.
yolox-keras
这是一个yolox-keras的源码，可以用于训练自己的模型。
yolox-tf2
这是一个yolox-tf2的源码，可以用于训练自己的模型。