Name: Sudhir Deshmukh
Type: User
Company: Defence Institute Of Advanced Technology
Bio: I am a Ph.D. student @DIAT, exploring possible research areas. To know more about me, please visit: https://www.brainpower.net.in/
Twitter: 27bokey
Location: Pune, India.
Blog: https://www.brainpower.net.in/
Sudhir Deshmukh's Projects
Custom Named enetuty recognition Zero / Few shot
Hands-free Facial attendance system | Facial access control system | Face recognition system
Allows use to input bloood pressure vaules and creates reports including visualisations indicating BP treds over time
Deep learning software to decode EEG or MEG signals
Interative Data Visualisation and Processing for ML insgestion
DRISHTI is a non-invasive biometric surveillance system that captures the face, expression, age, gender, gait, and activities of individuals (target persons or criminals) as well as possible weapons present in a distributed CCTV camera system. Also, it maintains a detailed log in the database. Join me. DRISHTI won 1st prize in Smart India Hackathon 2020
DRISHTI is a non-invasive biometric surveillance system that captures the face, expression, age, gender, gait, and activities of individuals (target persons or criminals) as well as possible weapons present in a distributed CCTV camera system. Also, it maintains a detailed log in the database. DRISHTI won 1st prize in Smart India Hackathon 2020
Face recognition using Tensorflow
This App will help you better manage your finances
This repository consists the list of repositories that covcever entire LLM model lifecycle and some exiting appplications
My first reprository
Interactive image pre-processing app that automatically created image processing pipeline for the desired parameters
Interactive image pre-processing app that automatically creates image processing pipeline for the desired parameters
A skeleton-based real-time online action recognition project, classifying and recognizing base on framewise joints, which can be used for safety surveilence.
While creating genx-studio I leaned that its very difficult to deploy LLMs for real life apllication. This repository will searve as a collections of steps that needs to be performed in order to make LLMs usable in production setting.
Signal saturation
these are set of utilities to speed up recurring tasks