Name: Dhruv Aggarwal
Type: User
Bio: A Detail oriented person who thrives to solve interesting, general and complex problems with scalable solutions that gives good aftermath results.
Twitter: iam_dAggarwal
Location: Delhi Ncr, India
Blog: https://dhruvagg.bio.link
Dhruv Aggarwal's Projects
Implementation of All ▲lgorithms in R Programming Language
ralger makes it easy to scrape a website. Built on the shoulders of titans: rvest, xml2.
New version of RCy3, redesigned and collaboratively maintained by Cytoscape developer community
Removing people from complex backgrounds in real time using TensorFlow.js in the web browser
R Package for Reinforcement Learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Rembg is a tool to remove images background.
dataset and code for 2016 paper "Learning a Driving Simulator"
An interactive live-coding resume site
[WIP] R Markdown Cookbook. A range of tips and tricks to make better use of R Markdown.
R configurations for Docker
Generate R package documentation from inline R comments
Safely access RStudio's API (when available)
Links to slides for rstudio::conf 2020
R Weekly
Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
Página do evento satRdays São Paulo 2019
Simulation-based inference toolkit
Slides and resources for workshops for SDS 291 Multiple Regression, Spring 2020.
Sentiment Analysis with Deep Learning using BERT project is designed to recognize sentiments in text through Natural language processing using pre-trained BERT transformer.
Collection of bash scripts that install R package system dependencies
A R package for Bootstrap Components to make Landing Home Pages for Shiny :globe_with_meridians:
a simple website for smi-spec
An R API wrapper for the SpaceX API
Spotify for the terminal written in Rust 🚀
Hide secrets with invisible characters in plain text securely using passwords 🧙🏻♂️⭐
Rust bindings for PyTorch
💯 Materials to help you rock your next coding interview
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.