Rameshwar Bhaskaran (zorroblue)

zorroblue

Geek Repo

Company:@facebook

Location:London

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Organizations
metakgp

Rameshwar Bhaskaran's repositories

prisma

A proof-of-concept implementation of the Prisma App

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distributed-search-engine

Distributed search engine using dynamic passive replication for load balancing

BAS

Book Shop Automation Software

cdcinfo

Get the notifications from CDC on the command-line!

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MetaBot

A virtual assistant chatbot for IIT Kharagpur

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CS231n

Working through CS231n: Convolutional Neural Networks for Visual Recognition

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DriverStatusApp

Android app for real time driver availability status

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Hangman

Solving Hangman Using Language Models

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vimrc

My vim configuration(so far)

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scikit-learn

scikit-learn: machine learning in Python

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awesome-seml

A curated list of articles that cover the software engineering best practices for building machine learning applications.

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bloom-filter

An implementation of Bloom Filter

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bucksamples

Samples for the Buck build tool.

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dashboard-beta

Repository for IIT Kharagpur's dashboard for the Inter-IIT 'Dashboard' event

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DeepLearning.ai-Summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

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DigitRecognizer

https://www.kaggle.com/c/digit-recognizer/discussion

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java-design-patterns

Design patterns implemented in Java

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Karna

ML/DL meeting group at IIT Kharagpur

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mage-ai

🧙 A modern replacement for Airflow.

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metakgp-wiki

Dockerized source for the metakgp wiki.

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Papers_I_Read

As the name suggests...

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Pytorch-pensieve

a pytorch implementation of pensieve (https://github.com/hongzimao/pensieve)

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QARC

The implementation of "QARC: Video Quality Aware Rate Control for Real-Time Video Streaming based on Deep Reinforcement Learning"

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Savitr-Python

Savitr, but gets rid of all the React Clunk. Dead simple

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surrealdb

A scalable, distributed, collaborative, document-graph database, for the realtime web

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system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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