Pinned Repositories
ConvNet_in_Numpy
Implementation of ConvNet/CNN in Numpy from scratch.
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.
mafat-radar-challenge-seekers
Repo for MAFAT RADAR Challenge
Representation-Learning-for-Information-Extraction
Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.
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.
Smart_Editor
A web app to convert handwritten forms to digital forms. Initially you are supposed to upload a template of your form that isn't filled. If the templates of your form is already available, you just need to upload your handwritten form and it will be converted to digital text.
Visualising-LSTM-Activations
Visualising what each LSTM cell learns from data.
Weapon_Detection
A barebone model built for detecting weapons in an image. It was built using YOLOv2 (You Only Look Once Algo version2). The model is built upon Darknet YOLO but is also ported on Tensorflow Lite, Protobuf file and also in YAD2K (Keras port of YOLO).
Praneet9's Repositories
Praneet9/Representation-Learning-for-Information-Extraction
Pytorch implementation of Paper by Google Research - Representation Learning for Information Extraction from Form-like Documents.
Praneet9/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.
Praneet9/Visualising-LSTM-Activations
Visualising what each LSTM cell learns from data.
Praneet9/SegFormer_Segmentation
Semantic Segmentation with SegFormer on Drone Dataset.
Praneet9/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.
Praneet9/BlogApp
A blog web-app to post blog posts built using Flask as well as Django.
Praneet9/mafat-radar-challenge-seekers
Repo for MAFAT RADAR Challenge
Praneet9/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
Praneet9/ConvNet_in_Numpy
Implementation of ConvNet/CNN in Numpy from scratch.
Praneet9/Facial_Keypoint_Detection
Praneet9/financial-markets-analysis-2020
Praneet9/Gallery
Praneet9/gRPC-Streamer
Praneet9/Image_Captioning
Praneet9/ivy
The Unified Machine Learning Framework
Praneet9/kornia
Open Source Differentiable Computer Vision Library for PyTorch
Praneet9/Learning-R
Learning R Programming
Praneet9/Machine_Learning
Machine Learning HandsOn!
Praneet9/opencv
Open Source Computer Vision Library
Praneet9/Praneet9
Praneet9/Praneet9.github.io
This is my portfolio website which includes a dark-mode variant as well.
Praneet9/Pytorch-Learning
Praneet9/Pytorch_Lightning
Praneet9/PyTorch_YOLOv4
PyTorch implementation of YOLOv4
Praneet9/rust_stuff
Praneet9/Scripts
Praneet9/SVHN-Digit-Recognition
Digit Recognition trained using SVHN Dataset in Pytorch
Praneet9/tensorrt_demos
Some examples demonstrating how to optimize caffe/tensorflow/darknet models with TensorRT and run real-time inferencing with the optimized TensorRT engines
Praneet9/Visual-Question-Answering
Praneet9/Visualizing-CNN-Learning-using-GRAD-CAM