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airbnb-amenity-detection

Repo for 42 days project to replicate/improve Airbnb's amenity (object) detection pipeline.

airbus-detection-challenge

The airbus ship detection challenge recently hosted on kaggle.com was quite challenging and interesting , as i was an beginner during this challenge , i was not fully aware of the kaggle kernals , but thanks to one of my friend who helped me in solving this issue , the model was ready , data was cleaned and here is my project work.

airqualityindex_predict

aptos-2019-blindness-detection

The challenge was to build a machine learning model to speed up disease detection. You’ll work with thousands of images collected in rural areas to help identify diabetic retinopathy automatically. If successful, you will not only help to prevent lifelong blindness, but these models may be used to detect other sorts of diseases in the future, like glaucoma and macular degeneration.

artest1ib7s8

awesome-video-text-retrieval

A curated list of deep learning resources for video-text retrieval.

chrome-extensions

WebRTC chrome extensions for screen sharing, screen recording, file sharing, youtube+audio sharing, etc.

coco-semantic-segmentation

A COCO image and masks generator tutorial for semantic segmentation purposes.

coursera_capstone

This is an data science capstone project , under the guidance of IBM through coursera . (currently enrolled in the course)

datasharing

The Leek group guide to data sharing

deep-mvlm

A tool for precisely placing 3D landmarks on 3D facial scans based on the paper "Multi-view Consensus CNN for 3D Facial Landmark Placement"

deepfashion_mrcnn

Fashion Item segmentation with Mask_RCNN

deepgaze

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

detectron2-tutorial

End to end tutorial on using Detectron2 for object detection

detectron2_web_app

https://towardsdatascience.com/instance-segmentation-web-app-63016b8ed4ae

digit-recognition-using-cnn

This code (with sufficient documentation) uses the mnist digit dataset of 70000 digit images, of which it uses 60000 images to train the Convolutional Neural Network and the rest 10000 images for testing it.

dog-breed-prediction

For our inaugural competition, we're working with Save All The Pets, a philanthropic organization in the US with the endgame of moving shelter animals to shelters where they'll be more likely to be adopted. We know that certain dog breeds are more likely to be adopted versus killed in different animal shelters, and those dogs can be moved to other shelters. However, not all shelter dog breeds are known, so they can't as easily be saved. The goal of this challenge is to predict a dog's breed given an image of it - you can also use optional features like color, sex, age, and size. You will be given a clean CSV of around 83,000 dog images with breed labels, and some other columns. Let's save some dogs!

down-to-the-last-detail-virtual-try-on-with-detail-carving

Virtural try-on under arbitrary poses

examples

TensorFlow examples

fashionlabelpreds

Will be added later

fine-grained-clothing-classification

Beating Fine-Grained Cloth Classification benchmark using Fast.AI in 10 Lines of Code

flaskapp

Deploying Deep Learning models using Flask

flaskv1.0

furniture-classification

iMaterialist Challenge (Furniture) at FGVC5, Kaggle Competition

fury

Anger is a path to the dark side but also a wake up call. Free unified rendering in Python.

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

ieee-cis-fraud-detection

In this competition, you’ll benchmark machine learning models on a challenging large-scale dataset. The data comes from Vesta's real-world e-commerce transactions and contains a wide range of features from device type to product features. You also have the opportunity to create new features to improve your results.

imat-fashion

Mask R-CNN based deep learning model that can segment and localize fashion products in images, films, and real time data.