dimitarpg13

graphs_and_dynamic_programming

Texts and source on the topic of Theory of Graphs, Grpah Networks, Max Flow Problems and dynamic programming

deep_learning_for_time_series_forecasting

Various Deep Learning models suitable for time series forecasting

personal

optimization_classification_regression

repo for fundamental Machine Learning methods: classic linear and non-linear optimization, classification algorithms and regression techniques and methods

dynamical_systems_and_ergodicity

Study of dynamical systems, chaos theory and ergodic systems

information_theory_and_statistical_mechanics

Study materials on Information Theory and its relations with physical systems models

computability_and_logic_systems

Computability, Logic Systems, Formal Grammars and Theory of Parsing

deep_learning_and_neural_networks

Connectionist architectures, Deep Learning and Neural Nets articles, papers, tutorials and books

image_processing

Image Processing Algorithms in Python

nlp_concepts

NLP tutorials, articles, books and source code illustrating concepts

queueing_theory

Queueing Theory and Stochastic Networks

spectral_analysis

Frequency domain analisys, stochastic techniques and data processing algorithms

transformers_intro

Intro to Transformers

large_language_models

root_cause_analysis_and_model_checking

Causal Inference, RCA algorithms, Probabilistic graph models based on Markov Chains, Model verification through Probabilistic Temporal Logic

probabilistic_machine_learning

Discussion around Murphy's book "ML - A Probabilistic Perspective"

JavaScript_for_web_dev

Java Script for Web Development: sample code books and articles

aiconcepts

work in progress on the Theory of Semantic Structures

reinforcement_learning_and_game_theory

Collection of materials and code samples on reinforcement learning / optimal control and game theory

learning_bayesian_networks

supplementary material to Learning Bayesian Networks by R Neapolitan

generalized_synthetic_control_for_testops

A new method for conducting testing on large scale extracting statistically significant data from noisy experiments

deep_learning_for_image_processing

Deep Learning architectures and algorithms for solving image processing problems

statistical_learning_and_kernel_methods

Statistical Learning Theory and Algorithms, Kernel Methods, KAN networks, Support Vector Machines

quantum_computing_and_algorithms

Quantum Computing Advances and Related Algorithms

typescript_testcode

typescript test code

PDF-Extract-Kit

A Comprehensive Toolkit for High-Quality PDF Content Extraction

semantic_segmentation_demo

Semantic Segmentation with ResNet-18

cnn_image_classification

CNN examples for image classification

gymnasium-demo

RL gymnasium demo code and experiments

transformer_examples

Example and demo code on Transformers for NLP