A way to analyse how malware and/or goodware samples vary from each other

ByteCog ByteCog is a python script that aims to help security researchers and others a like to classify malicious software compared to other samples, depending on what the unknown file(s) is/are being tested against. This script can be extended to use a machine learning model to classify malware if you wanted to do so. ByteCog uses multiple methods of analyzing and classifying samples given to it, such as using Shannon Entropy to give a visual aspect for the researchers to […]

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Optimizing the 8 Queens Puzzle using the Genetic Algorithm

8QueensGenetic A Python project for optimizing the 8 Queens Puzzle using the Genetic Algorithm implemented in PyGAD. The project uses the Kivy cross-platform Python framework for building the GUI of the 8 queens puzzle. The GUI helps to visualize the solutions reached while the genetic algorithm (GA) is optimizing the problem to find the best solution. For implementing the genetic algorithm, the PyGAD library is used. Check its documentation here: https://pygad.readthedocs.io To install PyGAD, simply use pip to download and […]

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Machine Translation Weekly 82: Multimodal Translation and the Visual Context

This week I am going to discuss (and criticize) a paper on multimodal machine translation that attempts to once again evaluate if and how the visual information could be useful in machine translation. The title of the paper is Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation, it has authors from several institutions in China and Hong Kong and will appear at this year’s ACL. Multimodal machine translation (also, a topic […]

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Python Community Interview With Sebastián Ramírez

Today, I’m joined by Sebastián Ramírez, a software developer at Explosion AI. He is also the creator of the popular frameworks FastAPI and Typer. In this interview, we discuss typing in Python, his motivations for creating FastAPI and the future of the framework, and much more. Without further ado, let’s get into it. Ricky: Thanks for joining me, Sebastián. I’d like to start with the same questions I do with all my guests: how did you get into programming, and […]

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Reinforcement Learning via Sequence Modeling

Decision Transformer Lili Chen*, Kevin Lu*, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas†, and Igor Mordatch† *equal contribution, †equal advising Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling. Contains scripts to reproduce experiments. Instructions We provide code in two sub-directories: atari containing code for Atari experiments and gym containing code for OpenAI Gym experiments.See corresponding READMEs in each folder for instructions; scripts should be run from the respective directories.It may be necessary to […]

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Gotta Go Fast When Generating Data with Score-Based Models

score_sde_fast_sampling This repo contains the official implementation for the paper Gotta Go Fast When Generating Data with Score-Based Models, which shows how to generate data as fast as possible with score-based models using a well-designed SDE solver. See the blog post for more details. Pretrained checkpoints https://drive.google.com/drive/folders/10pQygNzF7hOOLwP3q8GiNxSnFRpArUxQ?usp=sharing References If you find the code useful for your research, please consider citing @article{jolicoeurmartineau2021gotta, title={Gotta Go Fast When Generating Data with Score-Based Models}, author={Alexia Jolicoeur-Martineau and Ke Li and R{‘e}mi Pich{‘e}-Taillefer and Tal […]

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SRA’s seminar on Introduction to Computer Vision Fundamentals

Pixels_Seminar SRA’s seminar on Introduction to Computer Vision Fundamentals Introduction to Computer Vision This repository includes basics to : Python Numpy: A python library Git Computer Vision. The aim of this repository is to provide: A brief idea of algorithms involved in Computer Vision . Introduction to Version Control System: Git and GitHub. Computer Vision and Image Processing basics, idea of implementation of various algorithms involved using numpy (instead of any dedicated image processing library like OpenCV.) Introduction to a […]

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A Python Based Utility for Processing GST-Return JSON Files to Multiple Formats

GSTR 1/2A Utility A Python Based Utility for Processing GST-Return JSON Files to Multiple Formats by Shan.tk Open Source GSTR 1/GSTR 2A JSON to Excel utility based on Python. Useful for Auditors in Verifying GSTR 1 Return Invoices with Ledgers Screenshots Currently Working Methods for Both GSTR 1/2A B2B Invoices B2B Credit Notes Exports B2C Sales B2B Amended Invoices To be Done B2C Amended Invoices HSN Summary If You are Interested in this Project. Pull Requests are Welcomed if it […]

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A minecraft bedrock server software written in python

Podrum Is a Minecraft Bedrock Edition server software written in Python. It’s still under active development, but yet it has few advantages: Easy to use, Written in Python which makes plugins easier to write Features: [ ] World Generation [x] Networking [x] Commands [x] MOTD [x] Joinable (1.16.220) [ ] Mobs Running: Linux and MacOS (Unix systems): pip3 install -r ./requirements.txt python3 podrum Or you can use Powershell. Windows: pip install -r ./requirements.txt python podrum GitHub https://github.com/Podrum/Podrum    

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A real-time,high accuracy face detection

Yolov5-face Yolov5-face is a real-time,high accuracy face detection. Performance Single Scale Inference on VGA resolution(max side is equal to 640 and scale). Large family Method Backbone Easy Medium Hard #Params(M) #Flops(G) DSFD (CVPR19) ResNet152 94.29 91.47 71.39 120.06 259.55 RetinaFace (CVPR20) ResNet50 94.92 91.90 64.17 29.50 37.59 HAMBox (CVPR20) ResNet50 95.27 93.76 76.75 30.24 43.28 TinaFace (Arxiv20) ResNet50 95.61 94.25 81.43 37.98 172.95 SCRFD-34GF(Arxiv21) Bottleneck Res 96.06 94.92 85.29 9.80 34.13 SCRFD-10GF(Arxiv21) Basic Res 95.16 93.87 83.05 3.86 9.98 – […]

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