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Sanjal Katiyar's Projects

acm-console icon acm-console

The user interface for the cluster management portion of open-cluster-management.

art-generation-neural-style-transfer icon art-generation-neural-style-transfer

Here novel artistic image is generated using an algorithm. Most of the algorithms optimize a cost function to get a set of parameter values but here cost function is optimized to get pixel values. It merges two images, namely, a "content" image (C) and a "style" image (S), to create a "generated" image (G). The generated image G combines the "content" of the image C with the "style" of image S, this is known as Neural Style Transfer.

character-level-language-model icon character-level-language-model

A character level language model is build to generate new dinosaur names.An algorithm will learn the different name patterns and randomly generate new names, each line of the dataset(one name) is used as one training example. To generate new text we sample a sequence of characters according to a sequence of probability distributions output of the RNN.

clustering-and-retrieval-of-similar-articles icon clustering-and-retrieval-of-similar-articles

When exploring a large set of documents such as Wikipedia, news articles etc it can be useful to get a list of related material. To find relevant documents we cluster similar kind of documents together and retrieve the documents that are most related to the given document( or to the document a user is currently reading in case of news article etc).Different Models used to accomplish this task are EM Algorithm For A Gaussian Mixture Model, K-Means++ and Locality Sensitive Hashing.

console-operator icon console-operator

The console operator installs and maintains the web console on a cluster

disease-prediction-and-chest-x-ray-analysis icon disease-prediction-and-chest-x-ray-analysis

Trained a Decision Tree Classifier for classifying diseases from patient symptoms. Chest X-Ray Analysis and diagnosing its health condition by training a deep Convolutional Neural Network. Used transfer learning on a pre-trained MobileNet model by adding five extra trainable layers. Built Flask API's for the above 2 models and used them in my android application.

identifying-safe-risky-loans icon identifying-safe-risky-loans

Building a model to predict whether or not a loan provided by a company is likely to default based on the various customer details.Different Models used to accomplish this task are Decision Stump and Binary Decision Trees.

mern--react_interface icon mern--react_interface

For Server Side Code (MERN--REST_server): https://github.com/SanjalKatiyar/MERN--REST_server

mern--rest_server icon mern--rest_server

For Client Side Code (MERN--React_interface): https://github.com/SanjalKatiyar/MERN--React_interface

odf-multicluster-orchestrator icon odf-multicluster-orchestrator

Multicluster Orchestrator for OpenShift Data Foundation clusters. It uses Open Cluster Management as the multicluster control plane.

predicting-the-house-prices icon predicting-the-house-prices

Prediction of the house sales prices using different machine learning models.Different Models used to accomplish this task are LASSO (Coordinate Descent), Ridge Regression (Gradient Descent) and K-Nearest Neighbors Regression.

sending-email-with-firebase-cloud-function icon sending-email-with-firebase-cloud-function

The idea behind this sample is that whenever any victim traveling by train lodge a complaint(via mobile app) about any crime, firebase database will get triggered and complete information about the crime+victim will be sent to the authorities.

sentiment-analysis icon sentiment-analysis

To predict whether the sentiments about a product (from its reviews) are positive or negative.Different Models used to accomplish this task are Logistic Regression Using Stochastic Gradient Ascent and Logistic Regression With L2 Regularization.

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