Artificial Intelligence

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

Fall Detection Wearable

URL: https://youtu.be/W1VboHkwuuk

Description:

We have built an Elderly fall detection system to detect the fall - Real-time. It is a compact device and wireless too. Inside the room and also in the bathrooms, we shall detect the fall and alert the caretakers immediately. We have implemented the indoor localization as well.

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A GA Based Approach to Optimizing Weights and More

URL: https://github.com/DaitTan/geneticNN

Description:

In this project, I am trying to train a neural network using a genetic algorithm instead of the back-propagation based methods. The main objective will be to study the convergence analysis of this method on simple MLP followed by more complex networks.

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Mish: A Self Regularized Non-Monotonous Activation Function

URL: https://github.com/digantamisra98/Mish

Description:

In this work, a novel neural activation function called as Mish is proposed. The experiments show that Mish tends to work better than both ReLU and Swish along with other standard activation functions in many deep networks across challenging datasets.

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Monaural Audio Source Separation using Wave-U-Net & Deep Convolutional Neural Networks

URL: https://github.com/frizzid07/Wave-U-Net

Description:

The project aims to develop a system capable of analysing a mastered album track and discern the various audio sources in it. Audio from disparate sources will be separated and provided as outputs individually. It uses Wave-U-Net technology with underlying Deep CNNs to operate on MUSDB song dataset.

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VR Game interactive and progressive learning for kids

URL: https://youtu.be/mxRTEgKpuEk

Description:

It is always easier for the kids to learn when it is interesting and interactive. We have tried to both be interesting and interactive. Also we have tried to build VR based progressive learning tool kit. This can be used for autistic kids as well

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