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Hi there 👋

I ❤️ building tools that help the ML/AI engineer be more productive.

  • 💬 Ask me about LLMs, generative models, SciML, Gaussian Processes, FMUs, and more.
  • 📫 How to reach me: Email | LinkedIn | Twitter

I am currently working on:

  • JuliaSim - A next-gen scientific simulation platform.

I am tinkering with:

I have previously worked on

  • Turing.jl - A Julia based probabilistic programming language.
  • Gaussian Processes - A Gaussian Processes ecosytem in Julia.
  • PyMC - A Python based probabilistic programming language with a TensorFlow backend.

I ❤️ working with:

Sharan Yalburgi's Projects

markdown-cv icon markdown-cv

a simple template to write your CV in a readable markdown file and use CSS to publish/print it.

minimal-mistakes icon minimal-mistakes

:triangular_ruler: Jekyll theme for personal sites, blogs, and portfolios. Two-columns and extremely flexible.

modelingtoolkit.jl icon modelingtoolkit.jl

A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

ndt icon ndt

Timelapses and images generated using NDT datasets of Indian broadband users

nested-k-means icon nested-k-means

Implementation of Nested Mini-Batch K-Means Algorithm using Numpy

ordinarydiffeq.jl icon ordinarydiffeq.jl

High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

pymc3 icon pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

pymc4 icon pymc4

Pre-release development of high-level probabilistic programming interface for TensorFlow

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

recursivearraytools.jl icon recursivearraytools.jl

Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications

scimlexpectations.jl icon scimlexpectations.jl

Fast uncertainty quantification for scientific machine learning (SciML) and differential equations

scimltutorials.jl icon scimltutorials.jl

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

surrogates.jl icon surrogates.jl

Surrogate modeling and optimization for scientific machine learning (SciML)

swd icon swd

Student Welfare Division, BITS Pilani, Goa

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