UIUCTF 2021 Public Challenge Repository

Related tags

Deep LearningUIUCTF-2021-Public
Overview

UIUCTF-2021-Public

UIUCTF 2021 Public Challenge Repository

Notes:

  • every challenge folder contains a challenge.yml file in the format for ctfcli, CTFd's CLI tool
  • challenge.yaml files are for deployable challenges, for kCTF
  • most challenges have a solution/ folder or solution.md
  • majority of healthcheck folders contain a full solve script for the challenge (healthcheck/healthcheck.py)
Owner
SIGPwny
Undergrad Infosec @ UIUC
SIGPwny
GitHub Repository
An Abstract Cyber Security Simulation and Markov Game for OpenAI Gym

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salabim - discrete event simulation in Python

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[CVPR 2022] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

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Exploration of some patients clinical variables.

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Expand human face editing via Global Direction of StyleCLIP, especially to maintain similarity during editing.

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The code of "Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer".

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1 Apr 21, 2022
Check out the StyleGAN repo and place it in the same directory hierarchy as the present repo

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repro_eval is a collection of measures to evaluate the reproducibility/replicability of system-oriented IR experiments

repro_eval repro_eval is a collection of measures to evaluate the reproducibility/replicability of system-oriented IR experiments. The measures were d

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Fast and accurate optimisation for registration with little learningconvexadam

convexAdam Learn2Reg 2021 Submission Fast and accurate optimisation for registration with little learning Excellent results on Learn2Reg 2021 challeng

17 Dec 06, 2022
Chinese license plate recognition

AgentCLPR 简介 一个基于 ONNXRuntime、AgentOCR 和 License-Plate-Detector 项目开发的中国车牌检测识别系统。 车牌识别效果 支持多种车牌的检测和识别（其中单层车牌识别效果较好）： 单层车牌： [[[[373, 282], [69, 284],

AgentMaker 26 Dec 25, 2022
LIMEcraft: Handcrafted superpixel selectionand inspection for Visual eXplanations

LIMEcraft LIMEcraft: Handcrafted superpixel selectionand inspection for Visual eXplanations The LIMEcraft algorithm is an explanatory method based on

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Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.

This repository is a toolkit to do machine learning for programming languages. It implements tokenization, dataset preprocessing, model training and m

Facebook Research 408 Jan 01, 2023
BiSeNet based on pytorch

BiSeNet BiSeNet based on pytorch 0.4.1 and python 3.6 Dataset Download CamVid dataset from Google Drive or Baidu Yun(6xw4). Pretrained model Download

367 Dec 26, 2022
Unofficial implementation of the Involution operation from CVPR 2021

involution_pytorch Unofficial PyTorch implementation of "Involution: Inverting the Inherence of Convolution for Visual Recognition" by Li et al. prese

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Low-dose Digital Mammography with Deep Learning

Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography ====== This repository contains

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A solution to ensure Crowd Management with Contactless and Safe systems.

CovidTrack A Solution to ensure Crowd Management with Contactless and Safe systems. ML Model Mask Detection Social Distancing Detection Analytics Page

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DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification Created by Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Ch

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CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images

CFC-Net This project hosts the official implementation for the paper: CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Dete

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PIKA: a lightweight speech processing toolkit based on Pytorch and (Py)Kaldi

PIKA: a lightweight speech processing toolkit based on Pytorch and (Py)Kaldi PIKA is a lightweight speech processing toolkit based on Pytorch and (Py)

336 Nov 25, 2022
WSDM2022 "A Simple but Effective Bidirectional Extraction Framework for Relational Triple Extraction"

BiRTE WSDM2022 "A Simple but Effective Bidirectional Extraction Framework for Relational Triple Extraction" Requirements The main requirements are: py

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