XinXinLeeya

XinXinLeeya's Stars

• BVLC/caffe

  Caffe: a fast open framework for deep learning.

  Language:C++34.3k2.1k4.8k18.6k

• HarisIqbal88/PlotNeuralNet

  Latex code for making neural networks diagrams

  Language:TeX23k2251242.9k

• poloclub/cnn-explainer

  Learning Convolutional Neural Networks with Interactive Visualization.

  Language:JavaScript8.4k164501.3k

• tensorflow/tensorboard

  TensorFlow's Visualization Toolkit

  Language:TypeScript6.8k1871.9k1.7k

• transcranial/keras-js

  Run Keras models in the browser, with GPU support using WebGL

  Language:JavaScript5k177115502

• getaurora/download

  极光官方版本下载页 翻墙 代理 科学上网 外网 加速器 梯子 路由

  3.7k630457

• gwding/draw_convnet

  Language:Python2.7k4112519

• wagenaartje/neataptic

  :rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js

  Language:JavaScript1.2k60134283

• ThomasYeoLab/CBIG

  Language:MATLAB6315156394

• Ahmednull/L2CS-Net

  The official PyTorch implementation of L2CS-Net for gaze estimation and tracking

  Language:Python37653290

• martisak/dotnets

  Create simple drawings of neural networks using graphviz

  Language:Python2594271

• neurodata/neuroparc

  Language:Jupyter Notebook17334043

• xxlya/BrainGNN_Pytorch

  A preliminary implementation of BrainGNN

  Language:Python16521435

• SanketD92/CT-Image-Reconstruction

  Computed Tomography Image Reconstruction Project using MATLAB

  Language:MATLAB932035

• Oulu-IMEDS/DeepKnee

  Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach

  Language:Python6591034

• Oulu-IMEDS/KNEEL

  Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation

  Language:Python452110

• PingjunChen/GradingKneeOA

  Knee Osteoarthritis Analysis with X-ray Images using CNN

  Language:Python403518

• Wayfear/FBNETGEN

  Language:Python36114

• kimkimyoung/imu-based-joint-angle-measurement

  The repository will use an algorithm which measure the knee angle through two imu sensors.

  Language:C++22224

• Oulu-IMEDS/KneeLocalizer

  Codes for paper: A novel method for automatic localization of joint area on knee plain radiographs by A. Tiulpin et. al.

  Language:Python124512

• Wayfear/Dynamic-Brain-Transformer

  Dynamic Brain Transformer is the open-source implementation of the BHI 2023 paper "Dynamic Brain Transformer with Multi-level Attention for Functional Brain Network Analysis"

  Language:Python7240

• moin59/Body-joints-coordinate-and-angle-estimation

  Human body's joints coordinate estimation and elbow, knee angle estimation using keypoint.

  Language:Python6102

• MIPT-Oulu/DeepKnee-web

  Language:JavaScript5355

• vasystus/mandala-painting

  Drawing Mandala with Javascript

  Language:JavaScript2111

• VikasNatuskar/Facial-Keypoint-Detection

  The objective of this task is to predict keypoint positions on face images. This can be used as a building block in several applications, such as: tracking faces in images and video analysing facial expressions detecting dysmorphic facial signs for medical diagnosis biometrics / face recognition Detecing facial keypoints is a very challenging problem. Facial features vary greatly from one individual to another, and even for a single individual, there is a large amount of variation due to 3D pose, size, position, viewing angle, and illumination conditions. Computer vision research has come a long way in addressing these difficulties, but there remain many opportunities for improvement.

  Language:Jupyter Notebook2100

• Wenhua-Hu/DeepKnee

  AI is still seen as a magic black box, it is non-intuitive, and difficult for people to understand and trust. In the medical image analysis field, this problem is amplified and leads to a limited adoption of such AI systems. The proposed projects aim to adapt the exciting explainability tools for the medical domain to demystify and better explain medical AI decisions

  Language:JavaScript2100

• Baimon664/Hip_Knee_Ankle

  Language:Jupyter Notebook1

• gonglixue/Mandala-Painting-System

  A system based on Qt5 with which users can easily crate their own Mandala artworks.

  Language:C++1100

• lijin-coder/MS_HBM_clone

  origin url: https://github.com/ThomasYeoLab/CBIG

  1100

• rob-mccutcheon/wang_model

  Python translation of the circuit model and fitting algorithm originally in matlab at: https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/fMRI_dynamics/Wang2018_MFMem

  Language:Python1100