A collection of Digital Signal Processing notebooks with a wireless communications theme.

On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks

My Tensorflow Notebook. In this notebooks I have implemented various kind of model optimisation techniques.

Wii/GC texture encoder with palette support (png, jpeg, gif, bmp, tiff, tpl, tex0, plt0, bti)

Applying SDLC for JPEG compression project

JPEG Encoding with Discrete Cosine Transform, Quantisation & Run-Length Compression

Image compression codec based on JPEG implemented in python

A research based project to optimize the graph coloring problem using the quantisation part of image compression and come up with a solution which is better than conventional algorithms for graph coloring.

Make limited palette PNGs and SVG swatches from images. ~14KB

Optimising train, inference and throughput of expensive ML models

A complete pipeline for deep learning model optimization via teacher fine-tuning, knowledge distillation, and 4-bit quantization. Built with PyTorch, Transformers, and BitsAndBytes.

Simple dithering library in Rust, based on image-rs

Experiments in quantisation consisting of quantisation from scratch, bitsandbytes, and llama.cpp. [Assignment 4 of Advanced Natural Language Processing, IIIT-H Monsoon '24]

Source code: C++, SFML, MATLAB. The aim of the project was to implement various quantization algorithms in C ++ and to compare them in terms of the quality of the obtained results and the time needed to perform the calculations. On the way I've created an app with very basic GUI.

A friendly CLI tool for converting and uploading transformers for CTranslate2.