manthanthakker's Repositories

Implementations of Most Common AI Algorithms

A simple Android application for Calculator

Created Animations using Blender 3d software. Used third party models and made a short animation film.

This repository contains all the programs related to apache spark

This repository contains code/papers/research on Speech or Audio Classification

AZTK powered by Azure Batch: On-demand, Dockerized, Spark Jobs on Azure

Bank Database In MySQL

CryptoCurrency prediction using Deep Recurrent Neural Networks

A repository for sharing quick and simple chatbot demos, code snippets, and frameworks

This repository contains data visualization related to leading cryptocurrencies and stock market

Basic tutorial on Data Visualization

⇨ Deployed a distributed application for online gym membership to facilitate communication between the different branches of a gym. ⇨ Created and maintained a customer database with a connection to analysis tools to increase profits. ⇨ Implemented various distributed concepts such as RMI, CORBA, web-services, socket programming.

Event Finder React Web Application

eventfinderbackend

Exploring Pytorch

A free audio dataset of gujarati spoken digits. Think MNIST for audio.

PageRank Implementation for Map Reduce in Hadoop and Apache spark

⇨ Designed and implemented a search engine architecture from scratch for CACM and a sample Wikipedia corpus. ⇨ Crawled the corpus, parsed and indexed the raw documents using simple word count program using Map Reduce, performed ranking using the standard Page Rank algorithm and retrieved the relevant pages using variations of four distinct IR approaches, BM25, TF-IDF, cosine similarity and Lucene based IR model. ⇨ Conducted a comparative study to evaluate the performance of the different search engines. ⇨ Technologies used: Lucene, NetBeans, JSoup, Weka, MapReduce

Content for Udacity's Machine Learning curriculum

No python magic only computer science logic.

Config files for my GitHub profile.

CS6240 - Large Scale Parallel Processing Course at Northeastern University

Machine Learning modules for quick wins

The original sources of MS-DOS 1.25 and 2.0, for reference purposes

NeuralNetworks

Web application fetching real time news by crawling the internet

plagiarism-python: plagiarism Algorithm based on Document Fingerprinting - Tech stack: Spring Boot, MongoDB, Angular, AWS, FacebookLoginApi

Goal: To utilize latest advancements in AI to build products to help people with vision impairment and make their life more meaningful

No description

Author's repository for reproducing RawNet 1 and 2 papers with pre-trained model weights and speaker embeddings. RawNet2 is implemented in PyTorch and RawNet1 is implemented in PyTorch and Keras.

No description

⇨ The Speaker Recognition System consists of two phases, Feature Extraction and Recognition. ⇨ In the Extraction phase, the Speaker's voice is recorded and typical number of features are extracted to form a model. ⇨ During the Recognition phase, a speech sample is compared against a previously created voice print stored in the database. ⇨ The highlight of the system is that it can identify the Speaker's voice in a Multi-Speaker Environment too. Multi-layer Perceptron (MLP) Neural Network based on error back propagation training algorithm was used to train and test the system. ⇨ The system response time was 74 µs with an average efficiency of 95%.

Pytorch Implementations of Neural Networks

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

ResponsiveWebDesigns