Md. Mahedi Hasan's Projects
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
A WordPress plugin that includes example templates for Amazon Auto Links.
Automatically exported from code.google.com/p/asimplevpn
Automatically generate and overlay subtitles for any video.
A curated list of awesome Machine Learning frameworks, libraries and software.
Single Grapheme Prediction based model, Bangla HOCR
BALBD
π Generate a cover image for your blog post π https://blogcover.now.sh/
doge2048
Official implementation of https://arxiv.org/abs/2105.08655 paper
scrapping ihadith data
"Multiverse of Rick & Morty" is an Android app that utilizes the Rick and Morty API to provide users with an immersive journey through the multiverse of the popular animated series, "Rick and Morty." Explore various characters from the show and discover character details. You're welcome to explore its rich universe.
opensource mdm
Notebooks using the Hugging Face libraries π€
A collection of samples of different Android OS platform APIs.
portfolio website
Config files for my GitHub profile.
Resources for deep learning with satellite & aerial imagery
Signature recognition is a behavioural biometric. It can be operated in two different ways: Static: In this mode, users write their signature on paper, digitize it through an optical scanner or a camera, and the biometric system recognizes the signature analyzing its shape. This group is also known as βoff-lineβ. Dynamic: In this mode, users write their signature in a digitizing tablet, which acquires the signature in real time. Another possibility is the acquisition by means of stylus-operated PDAs. Some systems also operate on smart-phones or tablets with a capacitive screen, where users can sign using a finger or an appropriate pen. Dynamic recognition is also known as βon-lineβ. Dynamic information usually consists of the following information:
Python app which generates subs and plays them along with video
:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node