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Name: legendchilli
Type: User
Company: UESTC
Bio: Computer Vision
Location: chengdu
Name: legendchilli
Type: User
Company: UESTC
Bio: Computer Vision
Location: chengdu
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'
Official Code for Invertible Residual Networks
Image-and-Spatial Transformer Networks
IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks. High-accuracy medical retina (eye) image segmentation.
图灵程序设计丛书分享
A fully intertible U-Net for memory efficiency in Pytorch.
The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6
Pytorch implementation of regularization methods for deep networks obtained via kernel methods.
Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
Open Source Differentiable Computer Vision Library
Language-Driven Semantic Segmentation
LAVT: Language-Aware Vision Transformer for Referring Image Segmentation
Pytorch re-implementation of Paper: Image Inpainting with Learnable Bidirectional Attention Maps (ICCV 2019)
Official code for 'Unsupervised Local Discrimination for Medical Images'.
[NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
Implementation of a state-of-art algorithm from the paper “Learning with Noisy Labels” , which is the first one providing “guarantees for risk minimization under random label noise without any assumption on the true distribution.”
PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)
Unsupervised Feature Learning via Non-parametric Instance Discrimination
lidc nodule detection with CNN and LSTM network
Light-Weight RefineNet for Real-Time Semantic Segmentation
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
Code release for ICCV 2019 Oral, "Linearized Multi-Sampling for Differentiable Image Transformation"
⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training
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.