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深度神经网络(DNN)与对抗神经网络(GAN)模型总览图示,建立模型发展路书(roadmap),方便大家的理解与学习
A curated list of resources for Learning with Noisy Labels
Reading list for research topics in multimodal machine learning
A curated list of Multimodal Related Research.
A curated list of awesome self-supervised methods
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
Code for paper: "Coherent Hierarchical Multi-Label Classification Networks"
Code for Class Anchor Clustering loss for training a distance-based open set classifier
🏞 A content-based image retrieval (CBIR) system
On the Unreasonable Effectiveness of Centroids in Image Retrieval
An end-to-end PyTorch framework for image and video classification
12000+ manually drawn pixel-level lung segmentations, with and without covid
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Customized DataLoader for multi label dataset classification-pytorch implementation
Ranking, acceptance rate, deadline, and publication tips.
This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.
Code for DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
[CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition
Supplementary code for the paper "Hyperbolic Image Embeddings".
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition (CVPR 2020)
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
iNaturalist competition details
结巴中文分词
Library for Meta-Recognition and Weibull based calibration of SVM data.
This is the notes of the way of machine learning study. You may find something useful in it.
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
tracking medical datasets, with a focus on medical imaging
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.