Easy Query Language
URL: https://github.com/easy-query-language/v0.9beta
Description:
To probide an edge to database management, I am trying to introduce intelligence databases, which can detect it components merely based on user feedback.
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Artificial Intelligence
Get the most out of your training, scoring, algorithms and frameworks on Intel® architecture for Deep Learning and Artificial Intelligence.
Rubyplot: An advanced plotting library for Ruby
URL: https://github.com/alishdipani/rubyplot
Description:
Developing an advanced plotting library for Ruby as a part of Google Summer of Code 2019
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Sentiment-Analyzer
URL: https://github.com/Debpramanik19/Sentiment-Analyzer
Description:
Sentiment analysis is a method for identifying expressions in a piece of text. Here we are going to identify the sentiment of text using textblob(pip install textblob) and catagorize them into positive or negative This method can be used to track the reaction of people on social media.
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Learning Morphological Network for Old Document Image Binarization.
URL: https://github.com/ranjanZ/ICDAR_Binarization/blob/master/ICDAR_2019.pdf
Description:
Learning 2D Morphological Network for Old Document Image Binarization
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Morphological Networks for Image De-raining
URL: https://github.com/ranjanZ/2D-Morphological-Network
Description:
Mathematical morphological methods have successfully been applied to filter out (emphasize or remove) different structures of an image. In this project we try to learn morphological with neurons to solve image draining problem
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Knowledge Distillation
URL: https://github.com/Ujjwal-9/Knowledge-Distillation
Description:
Keras implementation of Hinton's knowledge distillation (KD), a way of transferring knowledge from a large model into a smaller model.
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Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality
URL: https://dl.acm.org/citation.cfm?id=3313559
Description:
We tackled the problem of assessing whether a decision-making system discriminates against a group of people with certain attributes. An example would be whether a machine learning algorithm discriminates against women. We developed two measures of detecting such discrimination.
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Classifying body fluids using deep learning
URL: https://github.com/vaishleshik/body_fluid_classifier
Description:
Investigation of different body fluids is a part and parcel of a pathologist's work-life. However, the manual process of classifying body fluids into categories like malignant and benign is quite time-consuming. The aim of this project is to better aid the pathologists who are working in this area.
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Introduction to Recommendation Systems
URL: https://github.com/abhi1345/recommendation-systems
Description:
5 Basic Types of Recommendation Systems, How they Work, and When to use them.
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Automatic Image-Caption Generator
URL: https://github.com/Garima13a/Automatic-Image-Captioning
Description:
This project will guide you to create a neural network architecture to automatically generate captions from images. So the main goal here is to put CNN-RNN together to create an automatic image captioning model that takes in an image as input and outputs a sequence of text that describes the image.
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Simplified K-nearest neighbor
URL: https://github.com/Jatinpandya26/simplified-K-Nearest-Neighbor
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Facial Recognition Using Siamese Network
URL: https://github.com/hr21/fast-facenet-at-oneshot
Description:
The Projects run on two parallel NEural Networks, One of the Neural Network acts Like a Database Link and the other Neural Network acts as a predictor on the image It Sees, The two Neural Networks are inspired from the Inception Network Design and Use convolutional and Maxpool layers for recognizing
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FaceEmojiconversion
URL: https://github.com/0x6f736f646f/Emojidetection
Description:
This project was for fun. You can be able to record your front camera then stream it to a backend service where it will locate the position of your head the type of facial expression made and finally replace it with a suitable emoji.
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Image Classification REST API
URL: https://github.com/sayakpaul/GDE-Collaboration
Description:
This project shows how to convert an image classification model into a REST API endpoint using Flask.
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Dog breed classification using PyTorch
URL: https://github.com/vp393001/Dog-Breed-Classification-Using-PyTorch
Description:
A PyTorch based deep learning project which classifies dog breed.
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Flappy Bird
URL: https://github.com/imskr/Flappy-Bird-AI
Description:
Artificial Intelligence based Flappy bird 🐤 Game.
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PyTorch2OpenVINO
URL: https://github.com/aaaven/PyTorch2OpenVINO
Description:
All credits go to INTEL AI Academy support team. Special thanks go to Ellick Chan and Huiyan Cao. This is a short tutorial shows how to port pre-trained PyTorch model to INTEL OpenVINO model. In short, the pre-trained PyTorch model got converted to ONNX format and then optimised by OpenVINO model optimiser.
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ShanshuiDaDA-OpenVINO
URL: https://github.com/aaaven/ShanshuiDaDA_openVINO
Description:
"ShanshuiDaDA" is an interactive installation powered by machine learning model - CycleGAN and trained with custom data. At the very beginning, ShanshuiDaDA was trained with cycleGAN official PyTorch implementation on custom sketch2shanshui data set. In this project, we port it to openVINO as an experiment and run for AI on PC Early Innovation!
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Neural Style Transfer using TensorFlow 2.0
Description:
Contain experiments to implement neural style transfer using TensorFlow 2.0
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Intel Realsense Package for all linux distributions
URL: https://github.com/cabelo/realsense-all-linux
Description:
Realsense Package for all Linux.
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