file-type-detection
There are 23 repositories under file-type-detection topic.
ua-nick/fleep-py
File format determination library for Python
dyne/harvest
Tool to sort large collections of files according to common typologies
kwilczynski/ruby-magic
Simple interface to libmagic for Ruby Programming Language
Anish-M-code/File-Analysis-Tool
A simple File Analysis Tool for Kali Linux
Blobfolio/blob-mimes
This project has been replaced by Righteous MIMEs.
velocityzen/FileType
File type and mime detection by magic bytes
ghost1face/FileTypeInterrogator
Determine file type by 'Magic Numbers'
jealyn/real-file-type
JS 精准获取上传文件类型
ItalyPaleAle/file-type-stream-go
Detect file types–extensions and mime–using magic numbers
daramkun/FileTypeDetector
Signature based File Extension Type Detection Library for .NET
ferhatgec/tyfe
Fegeya Tyfe, single header file type information library.
brondavies/filetypetranslator
Helper functions for your .Net, Python, JavaScript, and Java projects to get mime types and general file category
ferhatgec/tyfe.py
Python3 implementation of Tyfe (file type info library)
DavidJFelix/fbi
File Byte Inspector - A file type fingerprinter for typescript/javascript
Marcus-V-Freitas/CsharpUtilsLib
Lib contendo inúmeras funções para simplificar o dia a dia de desenvolvimento
RubixDev/tft
Text file type list and detection similar to that of Neovim
turboyang-cn/TurboYang.Utility.FileSignature
The library for detecting the type of file based on file header signature (magic number). Implementation for .NET Standard 2.0.
dyingsunlight/magic-types
Get the mime type by parsing file/base64 header binary data, supports both browser and nodejs
Mandawi/FileOrganizer
Organizes files in a directory based on their type
qwqoro/ML-Corrupted
📊 [ML] Classification Problem Solution: Guessing the type of a corrupted file
ancarda/file-detector
MIME type detector for partial file streams of unlimited length
axelhahn/filedetector
php class to detect filetype
R40835/file-type-detection-by-byte-blocks
Deep Learning for file type Identification in Digital Forensics. We use the first, body, and last blocks of bytes on the disk to account for all possible scenarios and train the FFNN, CNN, GRU, and LSTM models. Afterward, we make predictions and evaluate the performance of each model.