xuchen86

Awesome-Deep-Camera-Calibration

Deep Learning for Camera Calibration: A Survey

bayesian-neural-network-pytorch

PyTorch implementation of bayesian neural network.

Bayesian-Segmentation-and-Uncertainty-estimation-on-CityScapes

Implement a network for semantic segmentation in image data, and also generate estimates of aleatoric and epistemic uncertainties associated with the segmentation.

bayesian-torch

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

BayesianDeepLearning-Survey

Bayesian Deep Learning: A Survey

BayesianUNet

Pytorch Bayesian UNet model for segmentation and uncertainty prediction

Bert-Chinese-Text-Classification-Pytorch

使用Bert，ERNIE，进行中文文本分类

BNN-Stock-Predictions

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

CameraCalibration

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

courses

课件：数字图像处理，深度学习，计算机视觉，机器学习

CroPatho-Leaf-Disease-Detection

CroPatho is an Android Application which can detect diseases on crops by processing the leaf image.

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

CVprojects

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

DAMO-YOLO

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

deep-learning-for-image-processing

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

dive-into-cv-pytorch

动手学CV-Pytorch版

evidential-deeplearning

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

HIT-CV

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

Image-Recognition-system

✨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，图像识别可视化界面，OCR，快速部署深度学习模型为网页应用，Web预测系统，决策支持系统(DSS)，图像识别前端网页，图像识别Demo展示-Pywebio。AI人工智能图像识别-Pytorch；nii医学影像处理；ADNI数据集。100%纯Python代码，轻量化，易复现

MaxSquareLoss

Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Modern-Computer-Vision-with-PyTorch

Modern Computer Vision with PyTorch, published by Packt

Multi-Task-Transformer

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"

objectdetection_script

一些关于目标检测的脚本的改进思路代码，详细请看readme.md

ONNX-YOLOv8-Object-Detection

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

Plant-Disease-Detection

Plant Disease Detection is one of the mind-boggling issues when we talk about using Technology in Agriculture. Although researches have been done to detect whether a plant is healthy or diseased using Deep Learning and with the help of Neural Network, new techniques are still being discovered. For Fewer Data Classical Machine Learning Models are s

Segmentation-Pytorch

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

strawberry_diseases

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

torchio

Medical imaging toolkit for deep learning

YOLOv8-SmallObj-Garbage