yeefeizzz Goto Github PK
Name: Yifei Zhu
Type: User
Name: Yifei Zhu
Type: User
Localization of thoracic abnormalities model based on VinBigData (top 1%)
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Codes for WCCI paper on uncertainty quantification.
Bi-fidelity variational auto-encoder for uncertainty quantification applications
Tensorflow implementation of capsule network (CapsNet) for traffic prediction.
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
3D image classification using CNN (Convolutional Neural Network)
Code for "Deep Convolutional Networks as shallow Gaussian Processes"
see https://github.com/thangbui/geepee for a faster implementation
WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"
Bayesian Uncertainty Quantification by Deep Generative Model
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
Structured Edge Detection Toolbox
Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy).
New version of traffic prediction with Gaussian Process
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables
Library to implement graph neural networks in PyTorch
Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM
Tumour is formed in human body by abnormal cell multiplication in the tissue. Early detection of tumors and classifying them to Benign and malignant tumours is important in order to prevent its further growth. MRI (Magnetic Resonance Imaging) is a medical imaging technique used by radiologists to study and analyse medical images. Doing critical analysis manually can create unnecessary delay and also the accuracy for the same will be very less due to human errors. The main objective of this project is to apply machine learning techniques to make systems capable enough to perform such critical analysis faster with higher accuracy and efficiency levels. This research work is been done on te existing architecture of convolution neural network which can identify the tumour from MRI image. The Convolution Neural Network was implemented using Keras and TensorFlow, accelerated by NVIDIA Tesla K40 GPU. Using REMBRANDT as the dataset for implementation, the Classification accuracy accuired for AlexNet and ZFNet are 63.56% and 84.42% respectively.
Image processing application and dataset for looking for brain edemas. Requires image processing toolbench.
Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai
Implementation of STN (Spatial Transformer Network) and ICSTN (Inverse Compositional Spatial Transformer Networks) in Tensorlayer to predict transformation parameters from 2D images.
Shapes Classifier using CNN: Is that image a triangle or a square or a circle using CNN/Deep Learning.
Pytorch implementation of structural recurrent neural network (SRNN) for traffic speed prediction
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
[MICCAI'19] Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classification
Vision Transformer Cookbook with Tensorflow
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.