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Singapore University of Technology and Design
- Singapore
- https://khanhdinhduy.github.io/
Stars
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
A web based interactive image annotation tool.
Interactive Object Segmentation with Inside-Outside Guidance
Sparsity-aware deep learning inference runtime for CPUs
1st place solution for SIIM-FISABIO-RSNA COVID-19 Detection Challenge
Tensorflow implementation for the ECCV20 paper "Improving Adversarial Robustness by Enforcing Local and Global Compactness"
This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423
Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
Single-Side Domain Generalization for Face Anti-Spoofing, CVPR2020
A toolbox to iNNvestigate neural networks' predictions!
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
A PyTorch implementation of ECCV2018 Paper: TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes
MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
Image Tampering Detection using ELA and CNN
Basic example for machine learning classes
This repository host the code for real-time action detection paper
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
This repository host the code for real-time action detection paper
Tensorflow code of Dist-GAN, GN-GAN and other GAN methods
KhanhDinhDuy / meltdown
Forked from isec-tugraz/meltdownThis repository contains several applications, demonstrating the Meltdown bug.
This is the courses on https://cognitiveclass.ai website about Deep Learning with TensorFlow
This is the courses on https://courses.edx.org website about Apache Spark