I like to train ml models and learn Verilog :)

Hit me up if you want to talk tech or code..

An attempt at compressing Images using Machine learning algorithms and Neural Networks. Check it out at Ln11211/Image_compressor

where I try simple algorithms such a K means cluster and some neural network arichtectures using Conv blocks and LSTM blocks to arrive at a Image compressor baselined against JPEG algorithm.

This fun to make, end to end project on the very famous MNIST dataset is a great learning experience for me on deploying ML models. Do check it out at Ln11211/Handwritten-Digit-Classifier-App.

It has always been my goal to deploy ML models on edge devices and I hope to make it some day.

These are some NN models on datasets and problems suitable for DeepLearning and Computer vision tasks. Please find the notebooks with code on loading the dataset and working on them in the neural-networks repository

These are some projects and kaggle notebooks on datasets suitable for regression analysis that I performed myself. These include multiple datasets and visualisations of the data correlations and the regression fits. Please find them at Kglnotebooks