Atharva Bankar (iambankaratharva)

iambankaratharva

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Location:Philadelphia, PA, USA

Home Page:https://www.linkedin.com/in/iambankaratharva/

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Atharva Bankar's repositories

Weapon-Detection

Detection of people and weapons from video footage or images. The detection time was 30ms - 35ms per frame with Darknet-YOLOv4. A custom dataset was used for the training of the object detection model and data integration was performed using OIDv4 ToolKit.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:6Issues:0Issues:0

BitcoinHeist

Autoencoder & Variational Autoencoder for data augmentation and checking data authenticity with ML models.

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Claims-Management

Machine Learning models for helping BNP Paribas Cardif accelerate its claims process

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Nano-Satellite

Object Detection & Image Segmentation on Satellite Images

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Showroom-Management-System

Showroom Management - Database Management System

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Automatic-Speech-Recognition

Speaker Independent Automatic Speech Recognition for continuous audio.

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Cycle-GANs

Implementation of Cycle-GANs from scratch for paired image translation.

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Kissan-Mitra

App Dev & Amazon Sagemaker ML model deployment - Alternate Crop Recommender according to Kharif/Rabi season

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SegFormer-B0

Implementation of transformer based SegFormer-B0 from scratch for semantic segmentation.

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SOLO-Instance-Segmentation

Implementation of SOLO (Segmenting Objects by Locations) Instance Segmentation algorithm from scratch

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Tag-Prediction-on-Stack-Overflow-Posts

Using NLP or prediction of stack overflow posts using linear models for multi-class classification

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uptane

Uptane: Secure Framework for Automotive Software Updates: Reference Implementation and Demonstration code

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VAE-and-GANs

Implementation of VAEs and GANs from scratch.

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Adversarial-Attacks-on-CNNs

Adversarial attacks on CNNs using gradients of the network

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Distributed-Analytics-Engine

Distributed analytics engine inspired by Apache Spark, for handling large datasets across multiple nodes using operations like flatMap, fold, join, coGroup, mapPartitions, and many more. Utilizes a distributed key-value store for data management.

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Distributed-Key-Value-Store

Distributed key-value store using consistent hashing to shard data across multiple worker nodes, each managing a range of keys. A coordinator node tracks active workers and facilitates client communication. Workers support PUT and GET operations. The system uses HTTP for communication.

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Distributed-Web-Crawler

Distributed web crawler using analytics engine and a key-value store to handle large-scale web scraping. Implements polite crawling by adhering to robots.txt and limiting request rates. Store crawled pages in a KVS table, manage a URL queue, and handle redirects. Extract and normalize links for efficient and ethical web crawling.

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Dynamic-Web-Server

A dynamic web server in Java supporting HTTP and HTTPS, based on Spark Framework. Implements route handling, sessions with expiration, and TLS using a CA-signed certificate.

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Faster-RCNN-Object-Detection

Implementation of Faster-RCNN Object Detection algorithm from scratch

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:0Issues:0

Google-like-Search-Engine

A cloud-based search engine using a web server, key-value store, analytics engine, crawler, indexer, and PageRank. The project includes creating a web frontend for querying and ranking results, deploying on Amazon EC2, and addressing challenges in data handling and robustness.

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YOLO-Object-Detection

Implementation of YOLO (You Only Look Once) Object Detection algorithm from scratch

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