hebbian learning for sequential generation

This project implements two methods for calculating Oddonacci numbers using Java: a linear tail-recursive approach and a multiple recursive approach. These methods are implemented to study their performance in terms of execution time and efficiency.

RNN with customizable layers

A little program that writes out new text in the flavor of an input text.

Deep Learning for Natural Language Processing

Digital Design and Computer Organisation Mini-project

Generative Adverarial Networks - Experiments

Opportunistic planning model for action selection, based on human behavior in everyday activities

It can be used for simple blinking operations and the same can be used for showing current status of micro controllers

Sequence Generation Model for Multi-label Classification (COLING 2018)

Implementation of some fun projects with LSTM (long short-term memory) architecture by PyTorch library

use Recurrent Neural Networks for time series prediction and text generation

Digital Communication Techniques with MATLAB(Simulation)

Arbitrary digital pulse sequence generator with delay-loop timing

This is a simulation based VHDL code developed in Xilinx to demonstrate a 4-bit PN sequence generator.

Character-level Language Model with stacked RNN (ONLY Numpy)

Harmony Forge is a music generation platform merging Flask and Flutter. Flask manages backend tasks like music generation, user authentication, and model oversight, while Flutter's Android app offers a user-friendly interface. Together, they empower users to create music seamlessly through machine learning models and modern design principles.

Create a set of founder sequences from a set of multiple-aligned sequences.