This repository provides code for the paper "Vipul Bansal, Yong Chen, Shiyu Zhou, Component-Wise Markov Decision Process for Solving Condition Based Maintenance of Large Multi-Component Systems wit…

Python library for gear transmission design

BlackBear is a MOOSE-based code for simulating degradation processes in concrete and other structural materials.

Neural State-Space Models and Latent Dynamics Functions in PyTorch for High-Dimensional Forecasting

This repository provides code for the paper "Vipul Bansal, Shiyu Zhou, DEN-HMM: Deep Emission Network Based Hidden Markov Model with Time-Evolving Multivariate Observations"

Acceptance rates for the major AI conferences

A curated collection of public industrial datasets.

: Faulty and healthy gear box Data sets need to be analyzed in detail. Here, we created this dataset for those who do research in wind turbine gearbox fault diagnosis.

High Order Hidden Markov Model for accurate sequence classification.

Gaussian processes framework in python

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

A simple tutorial of Diffusion Probabilistic Models

The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing projec…

Variational Bayes-hidden Markov model analysis for photon-based smFRET measurement

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

It is an attempt to bring along various techniques in machine learning and deep learning

Interactive Visual Machine Learning Demos.

Solutions for homework in CS 524: Introduction to Optimization, at University of Wisconsin-Madison, Spring 2016

Enhancment of Audio Quality (Bit-Depth and Sampling-Rate) using Deep Learning.

PyTorch Implementation of the Sequential Multiagent Rollout algorithm

Implementation of a drone surveillance problem with POMDPs.jl

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Winning solution of work done on model extraction over Vision Transformers such as Video-Swin-T and MoViNeT-A2-Base on Video Action-Recognition tasks under Inter-IIT Tech Meet 10.0

Talks at PyData Delhi Meetups

AlexNet , VGG Blocks , Network In Network (NIN),GoogleNet,ResNet,DenseNet Using Pytorch

F-VQEs (https://arxiv.org/pdf/2106.10055.pdf)