Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.
URL: https://github.com/ritabratamaiti/Chem-Faiss
AIDDT is an automated pipeline for drug design with generative artificial intelligence and helps you optimize drug molecules, create high-quality molecular libraries and develop effective treatments faster.
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URL: https://github.com/cabelo/osar
The Linux distribution OSAR (OpenSUSE Augmented Reality) is the first GNU / Linux appliance created for the exclusive development of applications with augmented reality technology and games with computer vision.
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URL: https://vedas.sac.gov.in/vcms/static/SIH-2020/Clipped_NDVI.zip
For a given set of multispectral multi-temporal data with timestamp of one year or more, I'm working on develop a high-performance algorithm to analyse data at each pixel to extracting parameters such as date of sowing, date of harvesting and number of harvests based on temporal profile.
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URL: https://github.com/Amir22010/NLP_Deep_Learning/tree/master/Image_Captioning_NLP_VISION
an artificial intelligence problem where a textual description must be generated for a given photograph.
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URL: https://github.com/Amir22010/NLP_Deep_Learning/tree/master/7_June_2019_NLP_Deep_Sentiment
An Implementation of imdb movies review of text sentiment analysis, predicting the positive and negative text.
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The objective of this project is to build a grocery items' (as listed in the dataset) classifier to aid the grocery shop owners so that they can manage the grocery inventories effectively. The project demonstrates the use of NCS on fine-tuned deep learning models. So, that is an added advantage.
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URL: https://www.youtube.com/watch?v=zrDwhTXas-Y
Courier, Express and Parcel Delivery VR Trainer is a VR Training environment that showcases an intelligent cargo space via computer vision and AI like the Mercedes-Benz Vans CoROS which automates labor-intensive processes throughout the last mile and tracks cargo from distribution hub to doorstep.
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URL: https://github.com/guptasamarth61/Nearest-Neighbour-Detection-and-Encoding-of-ArUco-Markers
We will use computer vision on fiducial markers called ArUco Markers to study the strain caused in a deformed ribbon on applying stress.
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URL: https://github.com/Danavishnu/Buzz-Kill-System
A Solution for ALL that revolutionizes the driving ecosystem . We aim at overcoming the pitfalls of the human errors prevalent among drivers all over the world .The concept behind the Buzz Kill is to actively monitor the driver’s attention levels and Eye Aspect Ratio .
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URL: https://github.com/santos97/CNN-Keras-TF-Surveillance-System
Detect motion for input video source using a background subtraction algorithm. Then dynamically extract the images from the video source as test images. These images are fed to trained model "64x3-CNN.model" to predict if the motion is caused by Humans or not.
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URL: https://pypi.org/project/TF-Binary-Classification/
TF-Binary-Classification is a python package on PyPI. It can be used to train and test a model in a single line of terminal command.
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URL: https://ieeexplore.ieee.org/document/8333456
Sleep patterns vary considerably among individuals. Existing algorithms and commercial devices of sleep quality assessment are pre-trained for all. We advocate a personalized sleep quality assessment with machine learning algorithms trained specific to individuals.
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URL: https://drive.google.com/open?id=18EVhfFdPhCNBkxsL4TBwxiKnpFEBI-P4
It is always difficult for beginners to understand and visualize the machine learning concepts. Say, linear regression, it is very difficult for the starters. If there is a tool, which could really help in the visualization, it would be great an that's what we have done!
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URL: https://github.com/28ananthaprakash/lifebot2/
This chatbot is programmed using AIML (Artificial Intelligence Markup Language). This chatbot can reply with humans more effectively. This project doesn't need a powerful computer. The needed modules are flask, aiml. I've made this as a web app. So, It can be accessed from anywhere.
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URL: https://github.com/sknadig/intel_asr
This project is a demonstration of on-device KWS using Intel NCS 2. We would like to use an end-to-end model trained for ASR to do small-footprint keyword spotting which is compact enough to be run on-device with Intel NCS 2.
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URL: https://github.com/sayakpaul/NCS_With_Custom_Models_In_TF_Keras
This project is about exporting custom models to NCS compatible graph and then using NCS for inference.
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URL: https://github.com/Nilanshrajput/Inter-IIT-Techmeet-Vision-Challenge
This project is my team's submission for "Eye in The Sky" competition in the 7th Inter-IIT Techmeet 2018 held at IIT Bombay, Our rank was 4th among all IIT's, This Project contains the implementation of U-Net modified for the problem of satellite image classification.
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URL: https://github.com/guptasamarth61/Optimization-Metaheuristics
This project deploys Particle Swarm Optimization (Swarm Intelligence) and Genetic Algorithm (Evolutionary Intelligence) in Python to a functional optimization, knapsack, and text decoding problem.
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URL: https://github.com/guptasamarth61/Music-Generation
Music Generator is a Natural Language Processing based project that generates the notes and chords of the musical instrument that is used in the input music file. It uses an LSTM model deployed using Keras, Music21 and numpy library in Python.
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URL: https://github.com/pranabsarkar/deep-fake-srk-cage/blob/master/faceswap.py
Deepfake is a technique for human image synthesis based on artificial intelligence. It is used to combine and superimpose existing images and videos onto source images or videos using a deep neural network.
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