Sanat B Singh's Projects
PyTorch android examples of usage in applications
Actions on Google Codelabs
Some programs created in Compiler Design Lab
Notebook series on interesting topics in computer vision
A python script for CPM in Software Engineering
Using deep learning to generate in silico spectral libraries for data-independent acquisition analysis. You can also use the online service powered by Omicsolution.
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Tools for building GPU clusters
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Konnexions Project - Airplane Crash Investigation
Learn OpenCV : C++ and Python Examples
Resources and example on the Log-Euclidean framework for DTI processing
A dashboard system for doctors working in remote/assembled clinics where theycan access status & detailed health related information of different patients instantly and follow up with them (especially remote patients who are under quarantine at home) & a Covid19 X-Ray Screening application which will can assist doctors in diagnosis. Also a dedicated self-diagnosing section where people can know if there's a need to go to the hospital or not.
Academic projects using MLP (Multi Layer Perceptron)
A deep learning based lightweight Computer Aided Diagnostic System with an aim of easing the weary task of detection of Malaria infected cells by examination of blood smears under microscope and to enable the practical use of the model in remote and rural areas where high computation power and network may or may not be available.
NoteBook FanControl
Train an RL agent to localize actively (PyTorch)
Starter project to demonstrate a project whose pull requests get automatically deployed
Install macOS Big Sur on Ryzen with VMware Workstation and OpenCore
Latex code for making neural networks diagrams
Server to type on remote computers.
Profile
An academic project based on CNNs (Convolutional Neural networks), two images are taken and one of the image's style is applied on another. It uses pre-trained VGG-19 model for feature and content extraction.
Medical image preprocessing and augmentation toolkit for deep learning
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent