Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.
URL: https://github.com/SwayamdiptaSaha/mnistproject
In this project, I present an Keras Sequential Neural Network to tackle the recognition of handwritten digits. The Neural Network proposed here is experimented on the well-known MNIST data set. Without any pre-processing of the data set, our Neural Network achieves quite low classification error.
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URL: https://github.com/shubham769/Driver-drowsiness-detection
A computer vision system made with the help of OpenCV that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsyion, can be used by riders who tends to drive the vehicle for a longer period of time that may lead to accidents
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URL: https://github.com/krishnagee/diagflow
Taking Cloud Infrastructure automation to next level with the help of Deep Learning and Machine Learning workflow models to orchestrate the provisioning of cloud resources in public/private cloud.
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URL: https://github.com/raunak222/Image-Captioning
This is a project in which we have to generate captions from a given Image dataset. We see how to load and pre-process data from the COCO dataset. We also designed a CNN-RNN model for automatically generating image captions.
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URL: https://github.com/SWAG-SwayamChalitGadi
Self Driving car with ADAS, path-planning, lane detection, obstacle detection & avoidance, SLAM, and fully automated drive.
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URL: https://github.com/cabelo/oneapi-antispoofing
Certiface AntiSpoofing use oneAPI for fast decode video for perform liveness detection with inference. The system is capable of spotting fake faces and performing anti-face spoofing in face recognition systems.
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URL: https://github.com/Rishit-dagli/Breast-cancer-prediction-ML-Python
I have used the diagnosis of breast cancer cytology to demonstrate the applicability of this method to medical diagnosis and decision making. We use various different algorithms and also demonstrate the comparison between the algorithms for the classification problem.
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URL: https://googlee.technology/
I have created Artificial & Machine Learning based Google Assistant for our Saveetha Institute of Medical and Technical Sciences [SIMATS].With this Smart Assistant we can do all academic activity procedures such as We can retrieve the student details, Faculty details, Exam dates and Attendence etc.
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URL: https://github.com/Fernando23296/scoliosisx
Design of a computer system to support medical decisions based on the use of Machine Learning to identify the type of deformation of the spine and quantify its degree of curvature in adolescent patients.
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URL: https://github.com/RSinhoroto/UnBFace
A Convolutional Neural Network based on InceptionV3 architecture trained to estimate the face pose (described in yaw, pitch and roll angles) from a digital, RGB image of the user's head, for control system applications.
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URL: https://github.com/Akshat4112/NLP-research-papers
This repository contains landmark research papers in Natural Language Processing that came out in this century.
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URL: https://github.com/Samsomyajit/Water_Contamination_ML
The code is designed for Finding Contamination free zone with absolute Accuracy
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URL: https://github.com/singh728om
I have done with build a Machine Learning model to detect leaves of a tree to predict the chlorophyll per cm in the area of leaves with NASA dataset and classify types of trees to count max-min leaves in a tree. And finally, the next step to 6CO2 + 6H20 + (energy) → C6H12O6 + 6O2 calculates oxygen.
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URL: https://github.com/koriavinash1/BioExp
Explaining Deep Learning Models which perform various image processing tasks in the medical domain.
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URL: https://github.com/haranrk/DigiPathAI
digital pathology analysis using AI
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URL: https://github.com/koriavinash1/nfm
neural field models
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URL: https://github.com/princesegzy01/lstm-google-stock-price-prediction
Stock price prediction is a model built to predict stock prices from a given time series datasets containing open and close market for a stock over a given pricr
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URL: https://github.com/princesegzy01/incremental-machine-learning-techniques-
Online learnning is a medthod of machine learning where data becomes available in sequential order and is used to update our best predictor for future data at each step as opposed to batch learning techniques which generates best predictor by learning on the entore training datasets at once.
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URL: https://github.com/princesegzy01/News-Categorization
SGD has been successfully applied to large-scale and sparse machine learning problems often encountered in text classification and natural language processing. Given that the data is sparse, the classifiers in this module easily scale to problems with more than 10^5 training examples and more than
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URL: https://github.com/martinoywa/dermatologist-ai
Visually diagnoses melanoma, the deadliest form of skin cancer.
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