Pinned Repositories
Active-Learning-Bayesian-Convolutional-Neural-Networks
Active Learning on Image Data using Bayesian ConvNets
active-segmentation
Thesis for the MSc AI
active_gp_learning
This package provides a set of tools for performing active-learning with Gaussian Processes.
Advanced-Statistic-Inference
Course exercise of Advanced Statistic Inference
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
algp
Code for Active Learning with Gaussian Processes for High Throughput Phenotyping paper (https://arxiv.org/abs/1901.06803) (AAMAS 2019).
animegan2-pytorch
PyTorch implementation of AnimeGANv2
Awesome-Deep-Camera-Calibration
Deep Learning for Camera Calibration: A Survey
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
xuchen86's Repositories
xuchen86/animegan2-pytorch
PyTorch implementation of AnimeGANv2
xuchen86/Awesome-Deep-Camera-Calibration
Deep Learning for Camera Calibration: A Survey
xuchen86/awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
xuchen86/awesome-transformers-in-medical-imaging
A collection of resources on applications of Transformers in Medical Imaging.
xuchen86/bayesian-neural-network-pytorch
PyTorch implementation of bayesian neural network.
xuchen86/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.
xuchen86/bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
xuchen86/BayesianDeepLearning-Survey
Bayesian Deep Learning: A Survey
xuchen86/BayesianUNet
Pytorch Bayesian UNet model for segmentation and uncertainty prediction
xuchen86/BNN-Stock-Predictions
Bayesian Neural Networks for Quantifying Uncertainty and Predicting Stock Fluctuations: A Comparison of LSTMs, GRUs, and Transformers
xuchen86/CroPatho-Leaf-Disease-Detection
CroPatho is an Android Application which can detect diseases on crops by processing the leaf image.
xuchen86/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
xuchen86/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.
xuchen86/evidential-deeplearning
Implementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neural network.
xuchen86/Hierarchical-Bayesian-Defense
Official PyTorch Implementation for Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference (Openreview)
xuchen86/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
xuchen86/leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
xuchen86/MaxSquareLoss
Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.
xuchen86/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
xuchen86/Multitask-Learning-of-Semantic-Segmentation-and-Monucular-Depth-Estimation-For-Autonomous-Driving
xuchen86/multitask-seg-depth
Multi Task Learning for Semantic Segmentation, Instance Segmentation and Depth Estimation
xuchen86/nnUNet
xuchen86/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
xuchen86/ONNX-YOLOv8-Object-Detection
Python scripts performing object detection using the YOLOv8 model in ONNX.
xuchen86/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
xuchen86/Retinal-Blood-Vessels-Segmentation-and-Denoising
A Morphological Hessian Based Approach for Retinal Blood Vessels Segmentation and Denoising Using Region-Based Otsu Thresholding
xuchen86/Retinal-Vessel-Segmentation-using-variants-of-UNET
Retinal vessel segmentation using U-NET, Res-UNET, Attention U-NET, and Residual Attention U-NET (RA-UNET)
xuchen86/RPNODE_FSS
Improving Adversarial Robustness for Few Shot Segmentation with Regularized Neural-ODEs
xuchen86/VesselSeg-Pytorch
Retinal vessel segmentation toolkit based on pytorch
xuchen86/wt-pgd