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…

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…

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)

User manual and example notebooks for the pytket quantum computing toolkit

Julia library for quantum circuit simulation using tensor networks

Learning a Unified Classifier Incrementally via Rebalancing

A repository providing implementations of generative models in various frameworks.

Discussions on papers, frameworks, blogs and ideas every Saturday.

Tracking the impact of COVID-19 in India

This project aims at creating mobile based solutions for scientific grading/assaying of food grains. Aim is to be used in e-National Agriculture Market (NAM)

Wheat classification based on the provided dataset