Praneet's repositories
Representation-Learning-for-Information-Extraction
Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.
Docify
A service for extracting text from ID cards in India, like Aadhar Card, PAN Card and Driving Licence. You just need to click and send a picture of the card to the API and get a json with your details. It was built using Flask, Deep Learning and Image Processing. It also uses Connectionist Text Proposal Network (Open Source) along with Tesseract for text extraction.
Visualising-LSTM-Activations
Visualising what each LSTM cell learns from data.
SegFormer_Segmentation
Semantic Segmentation with SegFormer on Drone Dataset.
Skin_Disease
This project was developed during 24hr Hackathon - Unscript 2k19. It is a service as telegram bot that takes infected skin image as input and predicts the skin disease.
mafat-radar-challenge-seekers
Repo for MAFAT RADAR Challenge
ConvNet_in_Numpy
Implementation of ConvNet/CNN in Numpy from scratch.
Image_Processing_Scripts
Scripts for Image Processing using OpenCV
ivy
The Unified Machine Learning Framework
Learning-R
Learning R Programming
Machine_Learning
Machine Learning HandsOn!
Praneet9.github.io
This is my portfolio website which includes a dark-mode variant as well.
PyTorch_YOLOv4
PyTorch implementation of YOLOv4
SVHN-Digit-Recognition
Digit Recognition trained using SVHN Dataset in Pytorch
tensorrt_demos
Some examples demonstrating how to optimize caffe/tensorflow/darknet models with TensorRT and run real-time inferencing with the optimized TensorRT engines
Voices_of_Mumbai
A service for people to report the potholes in their area. It is a telegram service bot wherein you can report the image and location of the pothole. The complaint will be lodged. The admin also gets the severity of the pothole and can act accordingly. It was built using Telegram Bot Api, Flask and Deep Learning