Pranav Bijapur (pranavsb)

pranavsb

Geek Repo

Location:Seattle, WA

Home Page:http://pranavsb.me

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Organizations
BMSCE-IEEE
composablesys
melton-foundation

Pranav Bijapur's repositories

RL_smart_grid

We implemented a general, extensible Environment of a Smart Grid with the ability to simulate interactions between multiple Sources and Loads. Using the Environment, we implemented RL Battery Agents - specifically, using Q-learning and SARSA. We also analysed on a use case of the smart grid: Implementation of a smart Battery Agent to power usage optimizations in a Dynamic Pricing scenario

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Newton-Forward-and-Backward-Interpolation

Python 2 code to implement Newton's Forward and Backward Interpolation Formulae

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santorini-RL

Play the board game Santorini with this Reinforcement Learning agent and custom Gym environment

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language-8051-assembly

Package to provide 8051 assembly support for GitHub's Atom editor

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fawkes

Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

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microservice-springboot-mongodb-sample

A sample project to develop microservice with MongoDB (NoSQL database) using spring boot. Focus is mainly on how to configure spring boot to create database and collection (table) automatically without manual intervention in MongoDB.

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Python-SIG-2015

Python 2 code and text files containing assignments used in Python SIG 2015, BMS College of Engineering, Bangalore

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wattson

Distributed power management framework to optimize performance of a cluster given a power budget. Focus is on the distributed protocol and creating a fast & customizable framework.

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gossip-glomers

My solutions to the Gossip Glomers distributed systems challenge - https://fly.io/dist-sys/

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piranha

A tool for refactoring code related to feature flag APIs

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PLox

Implementing Lox while working through Crafting Interpreters

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pranavsb

Config files for my GitHub profile.

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pranavsb.me

My personal portfolio website

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premonish

Predict which DOM element a user will interact with next.

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