Sathvik Bhagavan's Projects
Deep learning based image dehazing
Image Dehaze, Pytorch, An All-in-One Network for Dehazing, AOD-Net
Practice and Share
A curated list of deep learning resources for computer vision
AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.
Exercise notebooks for CVND.
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
A library of data interpolation and smoothing functions
The Leek group guide to data sharing
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
Fast sequential, threaded, and distributed for-loops for Juliaโfold for humansโข
FMI.jl is a free-to-use software library for the Julia programming language which integrates FMI (fmi-standard.org): load or create, parameterize and simulate FMUs seamlessly inside the Julia programming language!
FMIImport.jl implements the import functionalities of the FMI-standard (fmi-standard.org) for the Julia programming language. FMIImport.jl provides the foundation for the Julia packages FMI.jl and FMIFlux.jl.
Simulated John Conway's Game of Life
The official registry of general Julia packages
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
Group Project for 'Compiler Design', Spring 2022
A Julia package that breaks down the curse of dimensionality in solving PDEs.
Contains all the assignments (mostly solved) for all compulsory CSE courses undertaken at IITK, and a few other courses (department electives, open electives and humanities electives - HSS)
A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
Fast, continuous interpolation of discrete datasets in Julia
Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)