trhoangdung

trhoangdung

Geek Repo

Company:University of Nebraska Lincoln

Location:Lincoln, Nebraska, USA

Home Page:https://sites.google.com/site/trhoangdung/

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trhoangdung's repositories

starl

StarL1.5 with 5 demo applications

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DNNV

A Framework for Deep Neural Network Verification

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acasxu_closed_loop_sim

Closed-loop simulation code using ACAS Xu neural networks for collision avoidance

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AeroBenchVVPython

Python Version of F-16 Maneuver Verification Benchmark

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AirSim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

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cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

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CROWN-Robustness-Certification

CROWN: A Neural Network Robustness Certification Algorithm for General Activation Functions

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deep_drone_acrobatics

Code for the project Deep Drone Acrobatics.

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DeepRL

Modularized Implementation of Deep RL Algorithms in PyTorch

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FACTEST

This is the repository for the FACTEST framework.

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GDVB

GDVB: Systematic Generation of Diverse Benchmarks for DNN Verification

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interval-bound-propagation

This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715

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lingua-franca

A coordination language for defining and composing reactors. See the Wiki for documentation.

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MADRaS

Multi-Agent DRiving Simulator

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mushr

MuSHR: Multi-agent System for non-Holonomic Racing

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nnenum

Neural Network Enumeration Tool

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NNet

Documentation and scripts related to the .nnet file format. This file format specifies a simple text file to define feed-forward, fully-connected, ReLU activated neural networks. Example networks in this format can be found in the Reluplex repository.

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nnv

Neural Network Verification Software Tool

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PyTorch_Gaussian_YOLOv3

PyTorch implementation of Gaussian YOLOv3 (including training code for COCO dataset)

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quickzonoreach

Quick reachability using zonotopes.

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rclc

ROS Client Library for the C language.

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reinforcement-learning-an-introduction-examples

Python Implementation of Reinforcement Learning: An Introduction

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reinforcement_learning_an_introduction

Notes and exercise solutions for second edition of Sutton & Barto's book

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ReluVal

The released code of ReluVal in USENIX Security 2018

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RnnVerify

Tool for formal verification of Recurrent Neural Networks

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SemanticSegmentation

Semantic Segmentation with MATLAB

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smoothing

Provable adversarial robustness at ImageNet scale

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truncated-mvn-sampler

Reimplementation using Python of the minimax tilting algorithm by Botev (2016) for simulation and iid sampling of the truncated multivariate normal distribution.

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