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
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.
Simple dithering library in Rust, based on image-rs
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.
Experiments in quantisation consisting of quantisation from scratch, bitsandbytes, and llama.cpp. [Assignment 4 of Advanced Natural Language Processing, IIIT-H Monsoon '24]
Optimising train, inference and throughput of expensive ML models
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