jimmybarrad Goto Github PK
Name: Jimmydl
Type: User
Company: Fudan University
Bio: Hi. My research interests include Transfer Learning, Deep Learning, Reinforcement Learning, Data Mining, etc. Email:[email protected]
Location: Shanghai
Name: Jimmydl
Type: User
Company: Fudan University
Bio: Hi. My research interests include Transfer Learning, Deep Learning, Reinforcement Learning, Data Mining, etc. Email:[email protected]
Location: Shanghai
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018
AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
Collection of awesome test-time (domain/batch/instance) adaptation methods
[ICCV 2021] Official Pytorch implementation for Discriminative Region-based Multi-Label Zero-Shot Learning SOTA results on NUS-WIDE and OpenImages
"Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)
Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.
Benchmarks for popular CNN models
Code to accompany ICML 2018 paper
Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).
A PyTorch toolbox for domain adaptation and semi-supervised learning.
The Open Images dataset
A Tensorflow implementation of paper, Deep CORAL: Correlation Alignment for Deep Domain Adaptation
An implementation of DeepCluster optimized by ADMM.
Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
Learning diverse image-to-image translation from unpaired data
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
Git-Tutorials GIT基本使用教學:memo:
Must-read papers on graph neural networks (GNN)
The official gpt4free repository | various collection of powerful language models
Learning to Cluster. A deep clustering strategy.
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Coding the Machine Learning Tutorial for Learning to Learn
Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
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.