A Resource on Queueing Theory and Stochastic Networks

This repo is a work in progress and it will be updated periodically. It contains resource on Queueing Theory and Queueing Networks - various articles of historical importance, relevant books and documents compiled based on the supplied sources. Repositories with example source code will be added in the future as git submodules.

Selected Topics in Machine Learning

• Reinforcement Learning and Game Theory

• Offline Reinforcement and Self-Supervised Learning

• NLP Concepts

• Transformers

• Large Language Models

• Bayesian Networks

• Probabilistic Machine Learning and Bayesian Methods

• Statistical Learning, Kernel Methods, Kolmogorov-Arnold Networks

• Optimization, Classification, Regression

• Causal Inference, Root Cause Analysis and Model Checking

• Image Processing and Computer Vision: Techniques and Algorithms

• Deep Learning and Neural Networks

• Deep Learning for solving Image Processing problems and Generative Tasks

• Deep Learning Models for Time Series Forecasting problems

• Deep Learning Models for Dynamical System Analysis

• Vector Retrieval Techniques and Algorithms

• Retrieval-Augmented Generation Concepts, Architectures and Algorithms

• Hypothesis Testing, Estimation of Treatment Effects and Generalized Synthetic Control

• Graphs and Dynamic Programming

• Dynamical Systems, State-Space Models, Chaos, Ergodicity

• Information Theory, Statistical Mechanics, Diffusion Models

• Queueing Networks, Queueing Theory, Reversible Stochastic Processes

• Spectral Analysis, Optimization in Spectral Domain, Spectral Domain Modeling

• Computability, Automata, Logic Systems, Formal Grammars and Theory of Parsing

• Thought Forming, Consciousness, Intelligent Machines, Semantic Inference

Note

This repository uses git Large File Storage feature. In order to download locally the large files (> 1MB) which are maintained by git LFS you will need to install the Git extension for versioning large files: https://git-lfs.com/