Tushar Patil's repositories
Semantic_Segmentation_Models
I am aiming to write different Semantic Segmentation models from scratch with different pretrained backbones.
Human_Body_Segmentation
A Deep Learning project focuses on Semantic Segmentation of Human Body and hence changing the background
Face_Segmentation
In this project, the goal is to train a model for segmenting various parts of face.
Virtual_Paint
Virtual Paint using OpenCV
autoencoder_latent_space_visualization
Training custom autoencoder on mnist dataset(28x28x1) and visualization of its latent space (d-128)
CODE_TEMPLATES
This repository contains various code templates that can be reused for diffrent projects.
DCGAN_Keras
Tensorflow (Keras) implementation of Deep Convolutional Generative Adversarial Networks
Diabetic_Retinopathy_Competition
A DL classification project to detect Diabetic Retinopathy using transfer learning techniques
Face_Mask_Detection
A Deep Learning project that checks whether a person is wearing a face mask or not live on a webcam
Object_Detection
Object detection projects
Object_Detection_Deployed_on_Docker
Train and predict an object detection model on docker using tensorflow object detection 2.0
FootballAdsBannersSegmentation
Detect advertising banners on the Champions League games
HackerEarth_Pet_Adoption
A ML multi-class classification project to identify pet and breed category
Hand_Gesture_Recognition
Hand Gesture Recognition and its application to control VLC Media Player using OpenCV
Image_Video_Augmentation
Video Augmentation using Albumentations library
Kaggle_Admission_Predictor
A ML Regression project with deployment to predict chance of an admit
Kaggle_House_Prices_Predictor
A ML Regression project to predict residential house prices in Ames, Iowa, US
Panorama_Stitching
Panorama Stitching using opencv library
Seekbar_Volumebar_Controller
Seek and Volume bar controller using OpenCV
Sign_Language_Gesture_Detection
A DL project with deployment to predict sign language gestures using transfer learning techniques
SqueezeNet_from_scratch
Implementation of SqueezeNet from scratch with SE(SqueezeAndExcitation)
Tomato_Leaf_Disease_Prediction
A DL project with deployment to predict tomato leaf disease using transfer learning techniques
tshr-d-dragon
Introduction to my work