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Name: karles
Type: User
Company: Monash University
Bio: PHD student at Monash University.
Location: Melbourne
Name: karles
Type: User
Company: Monash University
Bio: PHD student at Monash University.
Location: Melbourne
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
算法/数据结构/Python/剑指offer/机器学习/leetcode
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
A curated list of awesome computer vision resources
Incredible transferring knowledge techniques with Knowledge distillation
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2020)。
A curated list of resources for Learning with Noisy Labels
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
记录state-of-art计算机视觉相关论文。
A collection of AWESOME things about domian adaptation
Code for BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-domain Semantic Segmentation
code for paper Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation
Transfer learning for time series classification
code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)
A deep learning toolbox to decode raw time-domain EEG.
Additional modules to be used with the core of braindecode.
Semi-supervised Segmentation of Tumors from Breast Ultrasound Images with Attentional Generative Adversarial Network
Evaluation code for CAMELYON16 challenge.
Segmentation of Craniomaxillofacial Bony Structures from MRI with A Cascade Deep Learning Framework
Code for the ECCV 2018 paper "Pairwise Confusion for Fine-Grained Visual Classification"
Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)
我的自学笔记,在学习ML System,整理C++、算法、操作系统,后续学习分布式系统,终身更新。
Classify mammograms as benign/malignant, using the CBIS-DDSM dataset. Class project for CS231n at Stanford
Summarize the paper and code in Semantation(Semantic Segmentation,2D Medical Segmentation,3D Medical Segmentation,Instance Segmentation,Panoptic Segmentation)
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.