mohdshadaab Goto Github PK

ai_stylist

ai_stylist_dl_microservice

background_removal_dl

Files for Image and Video Background Removal using U-2-net model

cat_vs_non_cat_classifier

A 4 layer Neural Network to predict if an image is of cat or not.

cn_lab

contextualized-topic-models

A python package to run contextualized topic modeling

deepfashion

Apparel detection using deep learning

deepfashion2

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

etl_pipeline

Data collection, transformation and loading, user data(logs) using apache airflow and neo4j graph database.

face_detector

This is a simple face detector app which can detect more than 15 faces in a pic with very high accuracy. I have used Flutter and Firebase ML-kit for creating this app.

fake-handwritten-digits-using-dcgan

Implementation of DCGAN model to train a neural network on mnist dataset and generate fake handwritten digits close enough to the real images from the dataset.

flutter-tutorials

Code for my YouTube Videos

flutter_sessions

human-action-recognition

A Human Action Recognition pipeline using MMAction2 and kinetics400 dataset. MMAction2 is an open-source toolbox for video understanding based on PyTorch.

image-recognition-app

playing-rock-paper-scissor-with-ai

It’s pretty simple. I’ve Fine-tuned NASNETMobile model to recognize my hand signs when it’s inside the box, so when the model predicts my hand signs, the AI randomly generates its own move. And then the winner of that move is decided. The application is designed in a way that you can decide whether to go for the best of 5, best of 10, or any number for that number.

portscanner

pytorch-unet-segmentation

Clothing segmentation using Unet and Deep Fashion 2 dataset.

test-app

topic_modelling_v1

traffic-sign-classification

A traffic-sign-classifier made using CNN in keras with tensorflow as the backend.

tsf

u-2-net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."