DOG BREED CLASSIFIER
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A Dynamic Deep Learning Model that accurately determines the breed of a dog by the application of Convolutional Neural Networks.
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Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.
A Dynamic Deep Learning Model that accurately determines the breed of a dog by the application of Convolutional Neural Networks.
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An Interactive Machine Learning Project that determines the rate of chances of admission for an individual based on pre-requisite scores like CGPA, GRE, TOEFL, LOR, SOP etc.
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URL: https://github.com/FantacherJOY/Hidden-Markov-Model-for-NLP
Here Hidden Markov Algorithm used for classifying document using Natural Language Processing. Primarily, spam-ham data-set was used as the data-set.
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URL: https://github.com/ArjunInventor/ConnectKerala
ConnectKerala is a Machine Learning (ML) powered platform aimed at connecting the victims and the relief workers involved in re-building the flood-hit state of Kerala with the required information from the ‘flood of tweets’ in the easiest manner. Website: https://connectkerala2018.firebaseapp.com
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URL: https://github.com/ashwanidv100/sample-tensorflow-imageclassifier
In order to provide the blind people hearable environment, this project focuses on the field of assistive devices for visual impairment people. It converts the visual data by image and video processing into an alternate rendering modality that will be appropriate for a blind user. The alternate modalities can be auditory, haptic, or a combination of both. Therefore, the use of artificial intelligence for modality conversion, from the visual modality to another.
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URL: https://github.com/ksajan/AI-Interior
It is the one-one mapping of the features of the wall extracted from the different room pic provided by the user/customers to the color pallets. this project give the user variety of option where he choose the color option and design option from the results which are given by the program.
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URL: https://github.com/karthikeyan2ai/Lung_vessel_segementation
Lung vessel segmentation on medical CT image using random forest and auto encoder features. It is implementation of a published project( Bowen Zhao et al ) .( For learning purpose)
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URL: https://github.com/cabelo/youreyes
Android application created to pronounce for the visually impaired the objects present in front of the camera using opencv, TBB and Deep Learning.
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URL: https://github.com/shubham0704/parallelGSO
A highly scalable parallel version of Galactic Swarm Optimisation Algorithm Galactic Swarm Optimization is a state-of-the-art meta-heuristic optimization algorithm which is insiped by the motion of stars, galaxies, superclusters interacting with each other under the influence of gravity. Take a look at a detailed introduction to our project - https://github.com/shubham0704/parallelGSO/blob/master/white%20paper.ipynb
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URL: https://github.com/revelfire/autism-emotion-aid/tree/master/Emotism/Emotism
Working with Spillwave and an Autism consultant, SolipsAR is developing an application that will do a variety of things in support of helping Autistic children practice emotion recognition.
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URL: https://github.com/revelfire/tasktape-ar-spike/tree/master/TasktapeARFeatures
A Spike to produce proof-of-concept AR/AI features for the TaskTape program. These demo features when tightened up will be included in Walkthrough by TaskTape https://itunes.apple.com/us/app/walkthrough-by-tasktape/id1336050583?ls=1&mt=8
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URL: https://github.com/ravish1729/Neural-Network-for-beginers
Train an image classifier with architecture made by you, as well as understand how things work.
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URL: https://github.com/abhoi/Keras-MnasNet
A Keras implementation of MnasNet developed on Intel Devcloud.
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URL: https://github.com/prajjwal1/person-reid-incremental
Person Re-Identification is still a challenging task in Computer Vision due to variety of reasons. On the other side, Incremental Learning is still an issue since Deep Learning models tend to face the problem of overcatastrophic forgetting when trained on subsequent tasks. In this paper, we propose a model which can be used for multiple tasks in Person Re-Identification, provide state-of-the-art results on variety of tasks and still achieve considerable accuracy later on. We evaluated our mod...
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URL: https://youtu.be/l8GDmGLfAfM
Humans have the natural power to identify objects easily on their own, but a machine cannot. Algorithmic descriptions of recognition task has to be implemented on machines to identify an object in an image. Detecting objects and estimating their pose remains as one of the major challenges in computer vision technology. Object recognition is one of the key features in computer vision technology and it is used for identifying a specific object in a digital image or video. The importance of Obje...
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URL: https://github.com/PreferredAI/Tutorials/tree/master/1806-image-classification/vs-cnn
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URL: https://github.com/MiniMarvin/markme_ai
A cargo management system that uses RFID technology to track packages and find if this package was stolen or misdirected, some prediction AI algorithms run over it allowing risk prediction to increase and time average to be read.
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URL: https://github.com/prajjwal1/super_resolution
Restoration of Image Quality
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Analysis of crowd in a particular situation helps in handling the situation better and also is particularly used in Traffic analysis or to find out if the place is crowded and is densely populated by people by using simple Machine learning algorithms over object recognition and improve the accuracy rates.
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Analysis of crowd in a particular situation helps in handling the situation better and also is particularly used in Traffic analysis or to find out if the place is crowded and is densely populated by people by using simple Machine learning algorithms over object recognition and improve the accuracy rates.
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