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Yongqiang Tian's Projects

featurenet icon featurenet

Deep Neural Networks (DNNs) are intensively used to solve a wide variety of complex problems. Although powerful, such systems re- quire manual configuration and tuning. To this end, we view DNNs as configurable systems and propose an end-to-end framework that allows the configuration, evaluation and automated search for DNN architectures. Our FM and framework have been released in this repository to support replication and future research.

foolbox icon foolbox

This a fork version of foolbox since I found I need to change someting in order use mxnet gluoncv model

grad-cam-pytorch icon grad-cam-pytorch

PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps

grammarvae icon grammarvae

Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925

icse2020dnnbugrepair icon icse2020dnnbugrepair

Dataset for ICSE 2020 paper "Repairing Deep Neural Networks: Fix Patterns and Challenges"

imagenet icon imagenet

Trial on kaggle imagenet object localization by yolo v3 in google cloud

jetson_nano icon jetson_nano

This repository holds the scripts/programs I use to set up the software development environment on my Jetson Nano.

juliet-test-suite icon juliet-test-suite

:microscope: A collection of test cases in the Java language. It contains examples for 112 different CWEs.

mask_rcnn icon mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

models icon models

A collection of pre-trained, state-of-the-art models in the ONNX format

nvdtools icon nvdtools

A set of tools to work with the feeds (vulnerabilities, CPE dictionary etc.) distributed by National Vulnerability Database (NVD)

opencv icon opencv

Open Source Computer Vision Library

paperunreliableinference icon paperunreliableinference

Supplementary Material for Journal Paper: To What Extent Do DNN-based Image Classification Models Make Unreliable Inferences?

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