UIUCTF 2021 Public Challenge Repository

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
This repository is for our EMNLP 2021 paper "Automated Generation of Accurate & Fluent Medical X-ray Reports"

Introduction: X-Ray Report Generation This repository is for our EMNLP 2021 paper "Automated Generation of Accurate & Fluent Medical X-ray Reports". O

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Official implementation of "Refiner: Refining Self-attention for Vision Transformers".

RefinerViT This repo is the official implementation of "Refiner: Refining Self-attention for Vision Transformers". The repo is build on top of timm an

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A PyTorch Implementation of the Luna: Linear Unified Nested Attention

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NICE-GAN — Official PyTorch Implementation Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

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Runfa Chen 208 Nov 25, 2022
RL Algorithms with examples in Python / Pytorch / Unity ML agents

Reinforcement Learning Project This project was created to make it easier to get started with Reinforcement Learning. It now contains: An implementati

Rogier Wachters 3 Aug 19, 2022
Combinatorially Hard Games where the levels are procedurally generated

puzzlegen Implementation of two procedurally simulated environments with gym interfaces. IceSlider: the agent needs to reach and stop on the pink squa

Autonomous Learning Group 3 Jun 26, 2022
Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

ColossalAI An integrated large-scale model training system with efficient parallelization techniques. arXiv: Colossal-AI: A Unified Deep Learning Syst

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Official implementation of "Articulation Aware Canonical Surface Mapping"

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Self-Supervised Deep Blind Video Super-Resolution

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MPViT:Multi-Path Vision Transformer for Dense Prediction

MPViT : Multi-Path Vision Transformer for Dense Prediction This repository inlcu

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Code for the Higgs Boson Machine Learning Challenge organised by CERN & EPFL

A method to solve the Higgs boson challenge using Least Squares - Novae This project is the Project 1 of EPFL CS-433 Machine Learning. The project is

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Gapmm2: gapped alignment using minimap2 (align transcripts to genome)

gapmm2: gapped alignment using minimap2 This tool is a wrapper for minimap2 to r

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Composing methods for ML training efficiency

MosaicML Composer contains a library of methods, and ways to compose them together for more efficient ML training.

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Code and data accompanying our SVRHM'21 paper.

Code and data accompanying our SVRHM'21 paper. Requires tensorflow 1.13, python 3.7, scikit-learn, and pytorch 1.6.0 to be installed. Python scripts i

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Prototype for Baby Action Detection and Classification

Baby Action Detection Table of Contents About Install Run Predictions Demo About An attempt to harness the power of Deep Learning to come up with a so

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This is the 3D Implementation of 《Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation》

CoraNet This is the 3D Implementation of 《Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation》 Environment pytor

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Hashformers is a framework for hashtag segmentation with transformers.

Hashtag segmentation is the task of automatically inserting the missing spaces between the words in a hashtag. Hashformers applies Transformer models

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N-gram models- Unsmoothed, Laplace, Deleted Interpolation

N-gram models- Unsmoothed, Laplace, Deleted Interpolation

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なりすまし検出(anti-spoof-mn3)のWebカメラ向けデモ

FaceDetection-Anti-Spoof-Demo なりすまし検出(anti-spoof-mn3)のWebカメラ向けデモです。 モデルはPINTO_model_zoo/191_anti-spoof-mn3からONNX形式のモデルを使用しています。 Requirement mediapipe

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The Self-Supervised Learner can be used to train a classifier with fewer labeled examples needed using self-supervised learning.

Published by SpaceML • About SpaceML • Quick Colab Example Self-Supervised Learner The Self-Supervised Learner can be used to train a classifier with

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