active-learning

advancedlanelines

Lane identification system for camera based systems.

akasrai

A github profile readme

amandewatnitrr

amu_battlegrounds

anonymous

automail

Automated mail sending script based on python

auv-object-detection

Object detection and localization using ConvNets

byob

An open-source post-exploitation framework for students, researchers and developers.

cam2bev

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

codacon-hackathon

coursera-assignments

coursera repo

covid-social-distancing-detection

Personal social distancing detector using Python, a Tensorflow model and OpenCV

deej

Set app volumes with real sliders! deej is an Arduino & Go project to let you build your own hardware mixer for Windows and Linux

deep-active-learning

Implementation of active learning features for AxonDeepSeg software (axon-myelin segmentation)

deep-learning-in-production

Develop production ready deep learning code, deploy it and scale it

detect_hands

SSD on CPU using subset of Egohands Dataset

diver_detection

Diver detection CNN by Jahidul Islam, LoCO version.

documentation

Complete documentation of MTS AUV ZHCET Club

euli_treasure_hunt

Euli is not a computer game but a tool which helps you set up a real life treasure hunt

fire-hazard---protocol6

gargakshit

My GitHub README 📜 updated automatically using actions ⚡!

gate_detection_tf

gate_detection_torch

gitfiti

gogh

Color Scheme for Gnome Terminal and Pantheon Terminal

gradio

Create UIs for prototyping your machine learning model in 3 minutes

health-care-chat-bot

Through chatbots one can communicate with text or voice interface and get reply through artificial intelligence. Typically, a chat bot will communicate with a real person. Chat bots are used in applications such as ecommerce customer service, call centres and Internet gaming. Chatbots are programs built to automatically engage with received messages. Chatbots can be programmed to respond the same way each time, to respond differently to messages containing certain keywords and even to use machine learning to adapt their responses to fit the situation. A developing number of hospitals, nursing homes, and even private centres, presently utilize online Chatbots for human services on their sites. These bots connect with potential patients visiting the site, helping them discover specialists, booking their appointments, and getting them access to the correct treatment. In any case, the utilization of artificial intelligence in an industry where individuals’ lives could be in question, still starts misgivings in individuals. It brings up issues about whether the task mentioned above ought to be assigned to human staff. This healthcare chatbot system will help hospitals to provide healthcare support online 24 x 7, it answers deep as well as general questions. It also helps to generate leads and automatically delivers the information of leads to sales. By asking the questions in series it helps patients by guiding what exactly he/she is looking for.

image-super-resolution

TensorFlow2 implementation of SRResNet and SRGAN

infogan_tensorflow2.0

Quick Tensorflow 2.0 implementation of InfoGAN trained on MNIST.