DwaraknathT

NLP-tutorials

Minimal NLP implementations to understand them from the ground up. Why this when there are thousand other tutorials and huggingface? Too many abstractions, man, stuff is super complicated. I just want to see a documented piece of code and get the idea in like 1 min. So this is attempt to do that.

optimus

ML from scratch in python and CUDA for educational purposes.

Project-SarVik

3D radiation source visualizer with C++ and OpenGL.

Codefundo-18

cuda

CUDA notes - Programming massively parallel computers.

diffusion

A clean and simple implementation of Diffusion Models with Stochastic Differential Equations

NABU

Code for the paper "NABU - Multilingual Graph-based Neural RDF Verbalizer"

sparsity

Research on improving the efficiency of finding lottery tickets.

DwaraknathT.github.io

My website/blog

group-website

Group website! Thanks UWSAMPA for template.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

project-website

a template for research group sites

pyfl

A framework for decentralized ML

sarvik

A physics simulation engine in c++

sparsify

A simple, flexible, no-nonsense neural network sparsification library for PyTorch