Machine learning @ Transitional Artificial Intelligence Research Group 's Projects
Aerial computer vision via drones for coastal pollution detection
Agent-based model for climate extremes
Air pollution forecasting with Bayesian neural networks
Deep learning for prediction of air pollution trend in India
Dimentionality reduction framework with autoencoders for mineral exploration
Bayesian neural networks via Langevin MCMC for classification and regression problems
Bayesian Transformer for Language Models
Bayesian deep clustering via MCMC
Bayesian LSTM via MCMC
Baysian-neural-networks-cyclone-intensity-forecasting
Bayesian neural transfer learning
Bayesian gradient boosting via MCMC
Revisiting Bayesian Autoencoders with MCMC
Bayesian Convolutional Neural Networks
Bayesian deep learning via GANs for class imbalanced problems
Bayesian GANs via parallel tempering
Bayesian Graph CNN for financial prediction
Bayesian Graph Neural Networks
Bayesian Matrix Neural Networks
Bayesian neural network with Parallel Tempering MCMC for Stock Market Prediction
Bayesian neural networks via MCMC: tutorial
Bayesian RL using Deep Q-learning
Bayesian NNs (FNN, RNN and more) via parallel tempering & MCMC
Benchmarking gradient-based learning methods for deep learning models
Processing bio-signals with deep learning
Canonical Neuroevolution of FNNs using Genetic Algorithm and Particle Swarm Optimisation
Chat GPT for Hindu Philosophy
Climate extremes in South Pacific using deep learning
coevolutionary-Bayesian-neural-networks