文本分析与数据挖掘课程网站

This is the official code repository for "MedMamba: Vision Mamba for Medical Image Classification"

Rethinking the Light-weight U-shape network from a Convolutional Attention Perspective for Medical Image Segmentation

⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。

Analysis of Chinese Financial Discourse Based on Topic Clustering and Emotional Evolution | Fall 2023 - Spring 2024

课件：数字图像处理，深度学习，计算机视觉，机器学习

Quantifying Uncertainty to detect noise, out of distribution data and preclude wrong predictions using Evidential Deep Learning

This project investigates the potential of deep learning to automatically identify and classify brain tumors from medical images. This could lead to faster and more accurate diagnoses, potentially …

Based on our paper "Implementing vision transformer for classifying 2D biomedical images" published in Scientific Reports (Nature)

deep learning for image processing including classification and object-detection etc.

Medical imaging toolkit for deep learning

Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.

Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"

computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）

BERTopic 中文使用範例

哈工大人工智能专业2023秋《计算机视觉》课程作业及实验代码

Modern Computer Vision with PyTorch, published by Packt

动手学CV-Pytorch版

Bayesian Neural Networks for Quantifying Uncertainty and Predicting Stock Fluctuations: A Comparison of LSTMs, GRUs, and Transformers

✨基于 3D 卷积神经网络(CNN)的阿尔兹海默智能诊断 Web 应用 Alzheimer's Intelligent Diagnosis Web Application based on 3D Convolutional Neural Network and the ADNI Dataset ✨ 🚩(with README in English) 📌含在线demo：医学影像识别系统，图像识…

Implementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neural network.

一些关于目标检测的脚本的改进思路代码，详细请看readme.md

Python scripts performing object detection using the YOLOv8 model in ONNX.

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet

YOLOv8 for strawberry disease implementation. Achieves over 10% improvement in mAP in comparison to the Mask R-CNN baseline.

使用Bert，ERNIE，进行中文文本分类

Deep Learning for Camera Calibration: A Survey

Bayesian Deep Learning: A Survey