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suyashtava

Competitive Programming templates

Implemented templates of various data structures(Fenwick Tree, Min Deque) and algorithms (like Wheel Factorization, Extended Euclid, Modular Exponentiation, nCr) mainly for Competitive programming in C++. Also implemented an optimized multiplication: exponentiation, transpose including versions with modular arithmetic.

suyashtava's Projects

alpr icon alpr

In this project we have developed a fully functional model of detection and recognition of license plate of any vehicle using the image of that vehicle (which contains the license plate). YOLO can easily recognize and locate the position of license plate from image. The recognition of characters on that number plate is quite a challenging task. Current model uses the edge detection or OCR to recognize the character present in the license plate, but that approach is not a true machine learning approach. Thus under this project, the recognition of characters is also done using the techniques of YOLO. Hence, the purpose of this project is to design a real time license plate detector which can be used for different application.

cruise-control icon cruise-control

Cruise-control is the first of its kind to fully automate the dynamic workload rebalance and self-healing of a Kafka cluster. It provides great value to Kafka users by simplifying the operation of Kafka clusters.

go icon go

The Go programming language

kafka-monitor icon kafka-monitor

Xinfra Monitor monitors the availability of Kafka clusters by producing synthetic workloads using end-to-end pipelines to obtain derived vital statistics - E2E latency, service produce/consume availability, offsets commit availability & latency, message loss rate and more.

prometheus icon prometheus

The Prometheus monitoring system and time series database.

sts-upgrader icon sts-upgrader

A K8s controller that enables batch rolling upgrades in statefulsets (sts)

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