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Inayatullah Khan's Projects

caffe icon caffe

Caffe: a fast open framework for deep learning.

carla icon carla

Open-source simulator for autonomous driving research.

deepfacedetectrecog icon deepfacedetectrecog

Here, I have demonstrated the use of Multi-task Cascaded Convolutional Neural Networks, [MTCCNN](https://github.com/xiangrufan/keras-mtcnn) for deep face detection and [faceNet](https://arxiv.org/pdf/1503.03832.pdf) for encoding of the aligned faces. Recognition is then performed by matching the faces detected in the test images with the already enrolled or registered faces using euclidean distances.

erpnext icon erpnext

Free and Open Source Enterprise Resource Planning (ERP)

frappe icon frappe

Low code web framework for real world applications, in Python and Javascript

health icon health

Open Source Health Information System

hrms icon hrms

Open Source HR and Payroll Software

labelbox icon labelbox

Labelbox is the fastest way to annotate data to build and ship artificial intelligence applications.

meetings icon meetings

erpnext app for learning erpnext developement

models icon models

Models and examples built with TensorFlow

propms icon propms

Includes: Lease, Daily Checklist, Key Set, Meter, Outsourced Attendance. Requires ERPNext. Property Management Solution is powered by [ERPNext](https://github.com/frappe/erpnext), the world's best 100% open source ERP and a comprehensive one system solution that includes accounting, inventory, asset management, HR & Payroll and much more.

reactsocialapp icon reactsocialapp

This is an example project for creating a simple social app with React.js

realtimeobjectdetection icon realtimeobjectdetection

This is a demonstration of a MobileNetSDD object detector for achieving a very high frame per secons(FPS)

stewart icon stewart

Simulating a Stewart platform in Gazebo using a plugin to allow control of a closed loop manipulator with ROS.

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

tensorflowcnnfromtrainingtotesting icon tensorflowcnnfromtrainingtotesting

This is a very Simple example of showing how to build image dataset from your own collection of images, how to train multiple class classifier using tensorflow CNN and how to predict the class of an object in an unseen image. This code is designed so that a newbie user become able to train a tensorflow CNN model using his limited CPU resources. By loading small batches of images in the HDF5 data format is the key for doing so.

testhtml icon testhtml

just testing html documentation browsing

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