My CTF Challenges
2021 AIS3 Pre-exam / MyFirstCTF
| Name | Category | Keywords | Difficulty |
|---|---|---|---|
| ⒸⓄⓋⒾⒹ-①⑨ (MyFirstCTF Only) | Reverse | Baby | ★ |
| Piano | Reverse | C#, .NET | ★ |
| The Secret Lock (Pre-exam Only) | Reverse | Arduino, AVR | ★★★ |
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Overview
VOS: Learning What You Don’t Know by Virtual Outlier Synthesis
VOS This is the source code accompanying the paper VOS: Learning What You Don’t
248 Dec 25, 2022
The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data
Turing Change Point Detection Benchmark Welcome to the repository for the Turing Change Point Detection Benchmark, a benchmark evaluation of change po
85 Dec 28, 2022
Animate molecular orbital transitions using Psi4 and Blender
Molecular Orbital Transitions (MOT) Animate molecular orbital transitions using Psi4 and Blender Author: Maximilian Paradiz Dominguez, University of A
3 Feb 01, 2022
An example of semantic segmentation using tensorflow in eager execution.
Semantic segmentation using Tensorflow eager execution Requirement Python 2.7+ Tensorflow-gpu OpenCv H5py Scikit-learn Numpy Imgaug Train with eager e
25 Sep 29, 2022
git《Investigating Loss Functions for Extreme Super-Resolution》(CVPR 2020) GitHub:
Investigating Loss Functions for Extreme Super-Resolution NTIRE 2020 Perceptual Extreme Super-Resolution Submission. Our method ranked first and secon
0 Oct 17, 2022
Implementation of "Efficient Regional Memory Network for Video Object Segmentation" (Xie et al., CVPR 2021).
RMNet This repository contains the source code for the paper Efficient Regional Memory Network for Video Object Segmentation. Cite this work @inprocee
76 Dec 14, 2022
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
CNTK Chat Windows build status Linux build status The Microsoft Cognitive Toolkit (https://cntk.ai) is a unified deep learning toolkit that describes
17.3k Dec 29, 2022
ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators
Sequence Generation with GANs trained by Gradient Estimation Requirements: PyTorch v0.3 Python 3.6 CUDA 9.1 (For GPU) Origin The idea is from paper Se
40 Nov 03, 2022
The coda and data for "Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach" (ACL '21)
We propose a hierarchical core-fringe learning framework to measure fine-grained domain relevance of terms – the degree that a term is relevant to a broad (e.g., computer science) or narrow (e.g., de
14 Oct 21, 2022
A Real-World Benchmark for Reinforcement Learning based Recommender System
RL4RS: A Real-World Benchmark for Reinforcement Learning based Recommender System RL4RS is a real-world deep reinforcement learning recommender system
121 Dec 01, 2022
Dynamica causal Bayesian optimisation
Dynamic Causal Bayesian Optimization This is a Python implementation of Dynamic Causal Bayesian Optimization as presented at NeurIPS 2021. Abstract Th
18 Nov 22, 2022
Functional TensorFlow Implementation of Singular Value Decomposition for paper Fast Graph Learning
tf-fsvd TensorFlow Implementation of Functional Singular Value Decomposition for paper Fast Graph Learning with Unique Optimal Solutions Cite If you f
14 Nov 25, 2021
学习 python3 以来写的一些垃圾玩具……
和东哥做兄弟 Author: chiupam 版权 未经本人同意，仓库内所有资源文件，禁止任何公众号、自媒体、开发者进行任何形式的转载、发布、搬运。 声明 这不是一个开源项目，只是把 GitHub 当作一个代码的存储空间，本项目不接受任何开源要求。 仅用于学习研究，禁止用于商业用途，不能保证其合法性
67 Mar 26, 2022
Some experiments with tennis player aging curves using Hilbert space GPs in PyMC. Only experimental for now.
NOTE: This is still being developed! Setup notes This document uses Jeff Sackmann's tennis data. You can obtain it as follows: git clone https://githu
1 Jan 20, 2022
Equivariant CNNs for the sphere and SO(3) implemented in PyTorch
Equivariant CNNs for the sphere and SO(3) implemented in PyTorch
893 Dec 28, 2022
Label-Free Model Evaluation with Semi-Structured Dataset Representations
Label-Free Model Evaluation with Semi-Structured Dataset Representations Prerequisites This code uses the following libraries Python 3.7 NumPy PyTorch
8 Oct 06, 2022
A simple program for training and testing vit
Vit This is a simple program for training and testing vit. Key requirements: torch, torchvision and timm. Dataset I put 5 categories of the cub classi
2 Oct 11, 2022
Static Features Classifier - A static features classifier for Point-Could clusters using an Attention-RNN model
Static Features Classifier This is a static features classifier for Point-Could
1 Jan 25, 2022
DeLiGAN - This project is an implementation of the Generative Adversarial Network
This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Net
110 Sep 13, 2022
Official Implementation of SWAD (NeurIPS 2021)
SWAD: Domain Generalization by Seeking Flat Minima (NeurIPS'21) Official PyTorch implementation of SWAD: Domain Generalization by Seeking Flat Minima.
97 Dec 20, 2022