rohitrathore1 Goto Github PK

followers: 104.0 following: 182.0 repos: 127.0 gists: 8.0

Name: Rohit Singh Rathaur

Type: User

Company: io.net

Bio: The Best Defense is a Good Offense. Mathematics & Computing @ Birla Institute Of Technology

Twitter: rohit_rathore2

Location: Bangalore, Karnataka

Blog: https://rohitrathaur.in

Hi there 👋

From: 08 August 2020 - To: 16 July 2024

Total Time: 769 hrs 59 mins

Julia                      177 hrs 56 mins █████▓░░░░░░░░░░░░░░░░░░░   23.11 %
Python                     176 hrs 52 mins █████▓░░░░░░░░░░░░░░░░░░░   22.97 %
R                          114 hrs 44 mins ███▓░░░░░░░░░░░░░░░░░░░░░   14.90 %
Markdown                   109 hrs 52 mins ███▓░░░░░░░░░░░░░░░░░░░░░   14.27 %
YAML                       40 hrs 51 mins  █▒░░░░░░░░░░░░░░░░░░░░░░░   05.31 %
JavaScript                 29 hrs 23 mins  █░░░░░░░░░░░░░░░░░░░░░░░░   03.82 %
C++                        17 hrs 59 mins  ▓░░░░░░░░░░░░░░░░░░░░░░░░   02.34 %
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Rohit Singh Rathaur's Projects

abstractdifferentiation.jl

An abstract interface for automatic differentiation.

It covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations.

autoemail

Autoemail is a script where you can send a confirmation mail whenever an user submit a google form.

autogen

Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bayesianoptimization.jl

Bayesian optimization for Julia

betaprofile

A nicer look at your GitHub Profile using Next.js, Chart.js, GitHub Polyglot, Styled Components, React Flip Move

book-to-read

Book To Read app made with React to add the title of those books which you wanna read.

catalyst

Accelerated DL R&D

catalyst.jl

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software