Comparative Study of Classical and Deep Learning-Based Methods for Multi-Modal Brain Image Registration
2025
Comparative analysis of classical and deep learning methods for multi-modal brain image registration using the RIRE dataset, evaluating rigid, affine, deformable classical models, and advanced deep networks.
BIV: Batch Inverse Variance Weighting Deep Heteroscedastic Regression
2024
Advanced deep learning approach for heteroscedastic regression with batch inverse variance weighting, applied to robotics applications.
LSTM-VAE: LSTM Variational AutoEncoder
2021
PyTorch Implementation of Generating Sentences from a Continuous Space by Bowman et al. 2015, where LSTM-based VAE is trained on Penn Tree Bank dataset.
PianoVAE: VAE For Piano Notes Generation
2021
A Pytorch implementation of a musical model capable of generating piano notes and interpolating between them using a variational autoencoder with LSTM networks.
TLT: Transformer Lightning Language Model
2021
A simple implementation of a transformer-based language model using PyTorch Lightning framework.
T5WikiX: T5 Fine-Tuning on Wikihow and XSum
2021
PyTorch implementation of a summarization model fine-tuned on top of Google T5 pre-trained model using Wikihow and XSum datasets.
Transfer Learning for Prosthetics Using Imitation Learning
2020
Applying RL to enable prosthetics to calibrate with differences between humans and walking environments using OpenSim simulator.
PianoLSTM: LSTM For Piano Notes Generation
2020
PyTorch Implementation for an LSTM-based Music model that generates piano notes using Nottingham Dataset.
