Unofficial code reproducing Agent57

This repository contains unofficial code reproducing Agent57, which outperformed humans in all Atari games. agent.py define agent to play a supecific environment. buffer.py define buffer to store experiences with priorites. learner.py define learner to update parameter such as q networks and functions related to intrinsic reward. main.py run the main pipeline. model.py define some models such as q network and functions related to intrinsic reward. segment_tree.py define segment tree which decide segment index according to the priority. tester.py define tester […]

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对naabu的端口扫描结果,调用nmap进行指纹识别

对naabu的端口扫描结果,调用nmap进行指纹识别 127.0.0.1:22 127.0.0.1:80 127.0.0.1:8080 需要root权限 ➜ sudo python3 scan.py -h usage: scan.py [-h] [-f FILE] [-o OUTPUT] please enter two parameters … optional arguments: -h, –help show this help message and exit -f FILE, –file FILE -o OUTPUT, –output OUTPUT ➜ sudo python3 scan.py -f naabu_result.txt -o nmap_result.csv 保存为csv格式的文件 ip port name product version extrainfo

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unofficial pytorch implement of “Squareplus: A Softplus-Like Algebraic Rectifier”

unofficial pytorch implement of “Squareplus: A Softplus-Like Algebraic Rectifier” SquarePlus Squareplus is a Softplus-Like activation function. It is a very simple smooth approximation of ReLU. The form of squareplus is very simple. It only uses addition, multiplication, division and square root: b>0 in this form. When b=0, it degenerates to ReLU(x)=max(x,0) The original paper pointed out that since only addition, multiplication, division and square root are used, the speed of squareplus (mainly on the CPU) will be faster than SoftPlus […]

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A Telegram Bot Written In Python

A Telegram Bot Written In Python Clone the repository Install requirements: pip3 install -r requirements.txt edit the sample_config.py wih your configs python3 bot.py Now send /start to you bot to see if it is running! TG_BOT_TOKEN : YOUR BOT TOKEN. GET IT FROM @BOTFATHER START_MESSAGE : YOUR TELEGRAM APP ID. BOT_USER_NAME : YOUR TELEGRAM API HASH SUPPORT AND UPDATES For any type of help on deploy. Contact us on Support.Update. Thanks To AlbertEinsteinTg For Helping    

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Application that regularly sends an email to the user with all the films available on the poster of cinemas Nos

GitHub – Cavalex/Cartaz-Cinemas-Nos: Aplicação que envia regularmente um email ao utilizador com todos os filmes disponíveis no cartaz dos cinemas Nos. Aplicação que envia regularmente um email ao utilizador com todos os filmes disponíveis no cartaz dos cinemas Nos. – GitHub – Cavalex/Cartaz-Cinemas-Nos: Aplicação que envia regularmente um email a…    

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Official repository of SimViT

This is a official repository of SimViT.We will open our models and codes about object detection and semantic segmentation soon.Our code references the PVT, thanks a lot for their outstanding work! @misc{li2021simvit, title={SimViT: Exploring a Simple Vision Transformer with sliding windows}, author={Gang Li and Di Xu and Xing Cheng and Lingyu Si and Changwen Zheng}, year={2021}, eprint={2112.13085}, archivePrefix={arXiv}, primaryClass={cs.CV} }    

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Plugin adapted from Ultralytics to bring YOLOv5 into Napari

Plugin adapted from Ultralytics to bring YOLOv5 into Napari. Training and detection can be done using the GUI. Training dataset must be prepared prior to using this plugin. Further development will allow users to use Napari to prepare the dataset. Follow instructions stated on Ultralytics Github to prepare the dataset. The plugin includes 3 pre-trained networks that are able to identify mitosis stages or apoptosis on soSPIM images. More details can be found on the pre-print. This napari plugin was […]

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nfelo: a power ranking, prediction, and betting model for the NFL

nfelo is a power ranking, prediction, and betting model for the NFL. Nfelo take’s 538’s Elo framework and further adapts it for the NFL, hence the name nfelo (pronounced “NFL oh”). The model’s output is visualized on nfeloapp.com where you can explore: Repository Description This repository contains all the code necessary to translate raw data into weekly predictions. This process has three main phases: Pull and scrape data from nflfastR, PFF, and various Vegas Line sites Compile data into a […]

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