Mrinal Walia's repositories

AI-for-Finance-Stocks-real-time-analysis-

1. First we fetch data of stocks in realtime from nse India website, perform basis data visualizations using python to analyze the stock. 2. Then we use machine learning LSTM technique to predict the future stock price and at last create an interactive web-app using Streamlit in python.

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Facial-Expression-Recognition

• First we recognize the emotion of the person using Opencv and Keras by training our model on Data provided from Kaggle, program is trained for 30 epochs and we have got an accuracy of 71%. • After detecting the emotion out of 7 labels, we as user for his favourite artist and then recommend songs from Spotify using its API and movies from IMDB depending upon its mood.

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Network-Project-Attacks

Various network attacks

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season-of-docs

Supporting materials for Google's Season of Docs 2021

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Sitting-Posture-Recognition

Final Year Project

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Building-A-Baseline-Convolutional-AutoEncoder-Network-For-Image-Denoising-On-Fashion-MNIST-Dataset

We will build a simple baseline autoencoder model using TensorFlow and the CNN network. Then we will use this network on the FASHION MNIST dataset to show our results and accuracy. We will evaluate our model using a simple CNN network to show how our autoencoder model performs better than a stand-alone CNN model.

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community

NimbleEdge community content and more.

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COMP8610_Assignment_2

Aayushi Navinchandra Patel (Student ID:110087817) Aaditya Pradipbhai Parekh (Student ID:- 110084734) Dhruvkumar Arvind Patel (Student ID:- 110055817) Mrinal Walia (Student ID:- 110066886)

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design

This is the main hub for those interested in design in the OpenMined community

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EnvisEdge

Deploy recommendation engines with Edge Computing

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FederatedScope

An easy-to-use federated learning platform

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Generating-Anime-Character-Faces-Using-ACGANs

Abstract-This paper will implement a baseline Auxiliary Classifier Generative Adversarial Network capable of generating new anime character faces. We aim to design a style-guided discriminator and a generator network and train it on 63,000 synthesized anime faces. ACGANs can be notoriously hard to train as the generator, and the discriminator architectures are susceptible to parameters, hyperparameters, regularization, learning rate, and activation functions. However, unlike a conventional GANs network, our proposed framework uses a GPU for faster training and can improve its performance given more c- omputational power and datasets. This problem has previously been solved but lacks a generic architecture. Hence, our proposed framework can be used as a baseline network across different applications of GANs. The generated anime faces from our final model are visually pleasing and resemble designer-generated characters. As generative modelling is an unsupervised task and does not expect images to have labels, the dataset used in this project has 63,000 unlabeled cropped anime faces available at this URL: https://github.com/bchao1/Anime-Face-Dataset. Abbreviations: Auxiliary Classifier Generative Adversarial Networks (ACGANs), Generative Adversarial Networks (GANs), Artificial Intelligence (A.I.), Machine Learning (ML), Convolutional Neural Network (CNN)

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geomstats

Computations and statistics on manifolds with geometric structures.

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google-images-download

Google/Bing Images Web Downloader

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ip-1_assignment-1_backend

Internship/Project-1 Assignment 1 - Master of Applied Computing @ University of Windsor

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Kubernetes-Docs-Enhancement

This repository aims to improve the clarity and quality of Kubernetes documentation to make it more accessible and user-friendly for individuals with varying levels of Kubernetes expertise.

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LogoDet

Neural Nets for logo detection

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Mrinal-Portfolio-Hugo

Hugo: Portfolio

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mrinalwalia

-Portfolio Website: Hugo

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Open-Source-Requests

A curation of paid and unpaid requests for the community to work on.

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PySyft

A library for answering questions using data you cannot see

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reverse-interview

Questions to ask the company during your interview

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Root-Cause-Analysis-Deep-Learning-Analytis-

IT Operation: Root Cause Analysis

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Sentinels

Code related to any applications / bots serving our discord community.

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ShootAR

Comp ASE Game.

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