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alpine-python

A small, more complete, Python Docker image based on Alpine Linux.

bert-text-classification

DistillBERT + PyTorch on Kaggle disaster tweets competiton.

captcha_with_deep_learning

curvezero

CurveZero - Fixed rate USD loan protocol

devops-infrastructure

django-proj

docker-container-backup-restore

e-ink-proj

Designed by Altium

eink

elasticsearch-wrapper-python

ethminer-watchdog

fast-api-starter

flask-eks

flask_generated_ssl

geoip-rdap-iplist-python

Test

gpu-quicksort-algorithm

great-circles-problem

Visualize 3D Great Circles on Sphere

hadoop_codes

Hadoop tutorials for learning

huggingface_toturials

bert-base-chinese example

ili9486-adc

jsonrpclib

A Python JSON-RPC over HTTP that mirrors xmlrpclib syntax.

k8s-services

python-kubernetes

khaman1

lcd_library

leech-latest-jobs-from-myvisajobs.com

milestonefullstack

This business case will show how our project will deal with the current business concerns, the possible advantage of the project, and recommendations and justification of the project. The following case will also talk through the project performance, goals, assumptions, limitations and alternative options. Because of the increasing expense of evaluating car loss by humans, our car insurance company has to develop an AI application that is available to recognise and detect the car damages automatically in a web application. Due to the panadamic, the human force is demanding and not all of our staff can work in the office to check the damaged cars of the clients. In order to solve this program, we are trying to develop an AI web application where the client can take a picture of their damaged car and our AI will detect and categorize the type of damage. Also, the insurance companies take a long time to process claims, they take time to process even a small damage to the car by human judgment. As traveling may not be convenient for all clients, just getting information from the description of the damaged car may not be accurate to estimate the claim. In order to solve this problem, the AI can process a faster and a more accurate claim.

newsletter-next

no-fee-claymore

nodejs-grpc

ocr-opencv-classes

ocr-opencv-classes