Pinned Repositories
3dbraingen
Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
BRAIN_MRI
involution
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
MedicalImage
Detction, segmentation, classification, etc.
OpenCV-Python-Tutorial
OpenCV-Python图像处理教程
PalmLand
play_plane
Pygame
VideoSurveillance_YOLOv5
This is a repo detecting the person in the video based on YOLOv5.
visuallocalizationbenchmark
PalmLand's Repositories
PalmLand/VideoSurveillance_YOLOv5
This is a repo detecting the person in the video based on YOLOv5.
PalmLand/BRAIN_MRI
PalmLand/involution
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
PalmLand/MedicalImage
Detction, segmentation, classification, etc.
PalmLand/3dbraingen
Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)
PalmLand/Awesome-Edge-Detection-Papers
:books: A collection of edge/contour/boundary detection papers and toolbox.
PalmLand/awesome-image-classification
A curated list of deep learning image classification papers and codes
PalmLand/awesome-multiple-object-tracking
Resources for Multiple Object Tracking(MOT)
PalmLand/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
PalmLand/Bearing-Fault-Detection-using-Deep-Learning-approach
Detection and multi-class classification of Bearing faults using Image classification from Case Western Reserve University data of bearing vibrations recorded at different frequencies. Developed an algorithm to convert vibrational data into Symmetrized Dot Pattern images based on a Research paper. Created an Image dataset of 50 different parameters and 4 different fault classes, to select optimum parameters for efficient classification. Trained and tested 50 different datasets on different Image-net models to obtain maximum accuracy. Obtained an accuracy of 98% for Binary classification of Inner and Outer race faults on Efficient Net B7 model on just 5 epochs.
PalmLand/Brain_Stroke_Diagnosis
Using Convolutional neural networks for segmenting stroke lesions in brain MRI images.
PalmLand/competition-baseline
数据科学竞赛各种baseline代码、思路分享
PalmLand/Computer_Meets_TimeSeries
PalmLand/darknet
YOLOv4v / Scaled-YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )
PalmLand/data-science-competition
该仓库用于记录和定期提供各大数据科学竞赛的赛事消息和原创baseline，思路分享以及博主的一些竞赛心得和学习资料等. 主要涵盖：kaggle, 阿里天池，华为云大赛校园赛，百度aistudio，和鲸社区，datafountain等
PalmLand/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
PalmLand/EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
PalmLand/Informer-Tensorflow
PalmLand/lidc-binary-classification
This repository contains code to pre-process the LIDC-IDRI dataset of CT-scans with pulmonary nodules into a binary classification problem, easy to use for learning deep learning
PalmLand/MultiMix
MultiMix: Sparingly Supervised, Extreme Multitask Learning From Medical Images
PalmLand/MyCompetitions
PalmLand/PeddelMed
Medical image processing based on PaddlePaddle
PalmLand/Remaining-Useful-Life-Estimation-Variational
PalmLand/RoadCrackDetection
PalmLand/SimpleVideoMatting
PalmLand/time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
PalmLand/UDTL
Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study" published in TIM
PalmLand/ummkd
[TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation
PalmLand/vehicle-trajectory-prediction-with-Gaussian-Process-regression
PalmLand/VinBigData-Chest-Xrays-Object-detection-