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ai-challenge-mars

ai-on-the-edge-device

aimbrain-android-banking-demo

AimBrain Android Mobile Banking Demo and SDK integration example

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

android-vision

Sample code for the Android Mobile Vision API.

aot

AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection (NeurIPS 2020)

automation-repo

Machine learning and process automation

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

b2but-frontend-ico-dashboard

begin-react-app

Begin app

bingoset

🎲 CLI Toolkit to quickly create image dataset using Bing Image Search API

board

Trello like kanban board. Based on Restya platform.

brain-tumor

Dataset of brain scans w/ tumor for Kaggle

browser-passkey-demo

A simple demo of passkey authentication with only Web APIs

cloud-vision

Sample code for Google Cloud Vision

connect-android

Quovo Connect Android SDK

countries-states-cities-database

🌍 World countries, states, regions, provinces, cities, towns in JSON, SQL, XML, PLIST, YAML, and CSV. All Countries, States, Cities with ISO2, ISO3, Country Code, Phone Code, Capital, Native Language, Timezones, Latitude, Longitude, Region, Subregion, Flag Emoji, and Currency. #countries #states #cities

covid-19-xray-dataset

12000+ manually drawn pixel-level lung segmentations, with and without covid

covid-pneumonia-normal-classifier_99-accuracy_98-f1score

This reposository contains a deep learning model to predict a patient is suffering from covid or pneumonia or the person doesn't suffer from any of those disease using there chest X ray , I have used classical transfer learning method with a state of the art pretrained model ( resnet200d ) as a backbone and fine tuned its final layers . The model shows some excellent results with a 98% f1 score and 99% accuracy in a test set .

credit-card-fraud

Analysis of credit card fraud data

credit-card-fraud-1

Detecting fraudulent credit card transactions with supervised learning

credit-card-fraud-prediction

Using simple logistic regression to predict credit card fraud transactions

credit-card-fraud_j2d_project_python

Apply 7 common Machine Learning Algorithms to detect fraud, while dealing with imbalanced dataset

credit-card-transaction-fraud-detection-using-supervised-machine-learning-with-an-imbalanced-dataset

Card fraud

credit_risk_evaluation

This repository contains an approach (developed in Python) to credit risk analysis. The dataset was provided by a famous startup bank.

cryptowallet_risk_scoring

A free cryptowallet risk scoring tool with fully explainable scoring.

ctx-core-quovo-demo

custom_maskrcnn

Custom Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

cv_notebooks

cvat

Powerful and efficient Computer Vision Annotation Tool (CVAT)