NsfwSqueezenet

AI Testing Toolkit for AI applications

Sign Language Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras frameworks.

:dart: Accurate sums and dot products for Python.

building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe the limitations of each.

Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 ILSVRC and COCO challenges).

Dialog Skill Analysis framework for Watson Assistant

Evaluate results from ASR/Speech-to-Text quickly

The goal of this project was to develop a Face Recognition application using a Local Binary Pattern approach and, using the same approach, develop a real time Face Recognition application.

CIFAR10, CIFAR100 results with VGG16,Resnet50,WideResnet using pytorch-lightning

This is a Python 3 based project to perform fast & accurate face detection with OpenCV face detection to videos, video streams, and webcams using a pre-trained deep learning face detector model shipped with the library.