yu1ut Goto Github PK
Name: YUI
Type: User
Bio: The University of Tokyo
Name: YUI
Type: User
Bio: The University of Tokyo
AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world.
A collection of AWESOME things about domian adaptation
A PyTorch implementation of the Deep SVDD anomaly detection method
Deep Clustering for Unsupervised Learning of Visual Features
Code for "Divergence Optimization for Noisy Universal Domain Adaptation"
Official PyTorch Implementation of EDGE (CVPR 2023)
Code for "Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers"
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
Code for iMet Collection 2019 - FGVC6
Code for 'Low-Shot Learning with Imprinted Weights'
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Code for 'Joint Optimization Framework for Learning with Noisy Labels'
Unsupervised Feature Learning via Non-parametric Instance Discrimination
Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
Implementation of the mixup training method
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
Official implementation for "Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches" (CVPR 2024)
Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"
Code for 'Open Set Domain Adaptation by Backpropagation'
Official implementation of AAAI 2023 Oral Paper "Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition"
A template primarily for PhD theses but also suitable for Bachelor's or Master's theses
Using two stream architecture to implement action recognition on ucf101
Code for "Unknown Class Label Cleaning for Learning with Open-Set Noisy Labels"
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.