suyanzhou626 Goto Github PK
Name: legendchilli
Type: User
Company: UESTC
Bio: Computer Vision
Location: chengdu
Name: legendchilli
Type: User
Company: UESTC
Bio: Computer Vision
Location: chengdu
Mean-Teacher-Assisted Confident Learning
Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"
Implementation of "Encoraging LSTMs to Anticipate Actions Very Early", ICCV 2017
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
Generative Adversarial Network have an extensive use in generating images, faces etc. The same network has an application in predicting next frame. Here we show the next action prediction using GANs
This repository is an official PyTorch implementation of the paper "BSDA-Net: A Boundary Shape and Distance Aware Joint Learning Framework for Segmenting and Classifying OCTA Images", MICCAI 2021.
Multi-stage image denoising with the wavelet transform (Pattern Recognition 2022)
Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors
Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands
Implementation of Non-local Block.
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
Code for Neural Spline Flows paper
OCNet achieves the state-of-the-art scene parsing performance on both Cityscapes and ADE20K.
Pytorch implementation of Octave convolution
Applying Octave UNet for Retinal Vessel Segmentation.
The Pytorch code of OCNet series and SegFix.
Python bindings to OpenSlide
[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
Pixel-Adaptive Convolutional Neural Networks (CVPR '19)
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
Label Distribution for Learning with Noisy Labels, In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'20),
Persepolis Download Manager is a GUI for aria2.
PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).
Pytorch Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019
Dataset API for "PhraseCut: Language-based Image Segmentation in the Wild"
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.