Artificial Intelligence

Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.

Mouse-Free and Gesture Control

URL: https://github.com/rakshanda22/Mouse-free.git

Description:

Gestures can have a major impact on laptops just like on mobile phones. This this project makes the life of people easier by performing various tasks using just certain gestures. On the other hand this can also be used in scenario where a patient is unable to move their body. In such a case this can be used to play games which will work as an exercise and also some fun for the patient's mundane life.

Posted:

Understanding Financial Reports Using Natural Language Processing

URL: https://github.com/sudhamstarun/Understanding-Financial-Reports-using-Natural-Language-Processing

Description:

This project investigates how mutual funds leverage credit derivative by studying their routine filings to the U.S. Securities and Exchange Commission. Credit derivatives are used to transfer credit risk related to an underlying entity from one party to another without transferring the actual underlying entity.

Posted:

Advance Lane Finding

URL: https://github.com/prateeksawhney97/Advanced-Lane-Finding-P2

Description:

Advanced Lane Detection Project which includes advanced image processing to detect lanes irrespective of the road texture, brightness, contrast, curves etc. Used Image warping and sliding window approach to find and plot the lane lines. Also determined the real curvature of the lane and vehicle position with respect to center.

Posted:

Deep-Super-Resolution-Research

URL: https://github.com/rajatkb/Deep-Super-Resolution-Research

Description:

For this project my research focus was on Image SuperResolution using Deep Learning. Most of my work involved exploring existing solutions and analysing and study their approach. The work was concluded with a Progressive Upsacalling methods using RDNSR with VGG Perceptual Loss for generating high resolution images. The Progressive upscalling can upscale to very high resolution given the RDNSR base network.

Posted:

HadaNets: Flexible Quantization Strategies for Neural Networks

URL: https://github.com/akhauriyash/HadaNet/

Description:

Deep learning has proven to be effective for a variety of tasks. As the market for mobile and offline artificial intelligence develops, the need to reduce the memory and energy footprint of neural networks becomes vital. In this paper, we introduce HadaNets. HadaNets utilize a flexible tensor quantization scheme which trains a neural network from scratch by ‘pairing’ a full precision tensor to a binary tensor in the form of a Hadamard product. The train-time parameter count is preserved in Ha...

Posted: