Pinned Repositories
Applied-Machine-Learning-Explainability-Techniques
Applied Machine Learning Explainability Techniques, published by Packt
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Data-Challenge-2021
datasciencecoursera
datasharing
The Leek group guide to data sharing
DetectionCausalRelationshipsTimeSeries
Code for paper "A method for detecting causal relationships between industrial alarm variables using Transfer entropy and K2-Algorithm"
gitignore
A collection of useful .gitignore templates
GVAR
An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
IDTxl
tsnnay's Repositories
tsnnay/Applied-Machine-Learning-Explainability-Techniques
Applied Machine Learning Explainability Techniques, published by Packt
tsnnay/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
tsnnay/coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
tsnnay/Data-Challenge-2021
tsnnay/datasciencecoursera
tsnnay/datasharing
The Leek group guide to data sharing
tsnnay/DetectionCausalRelationshipsTimeSeries
Code for paper "A method for detecting causal relationships between industrial alarm variables using Transfer entropy and K2-Algorithm"
tsnnay/gitignore
A collection of useful .gitignore templates
tsnnay/GVAR
An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.
tsnnay/IDTxl
tsnnay/ipython-notebooks
A collection of IPython notebooks covering various topics.
tsnnay/Latex-Template
tsnnay/Learning-Python-Physics-Informed-Machine-Learning-PINNs-DeepONets
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
tsnnay/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
tsnnay/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
tsnnay/Pandoc-Markdown-Template
tsnnay/phd_thesis_markdown
Template for writing a PhD thesis in Markdown
tsnnay/scientific-articles-markdown
Creation of scientific articles in various output formats (DOCX, ODT, PDF, LATEX, HTML, EPUB) with markdown/ pandoc
tsnnay/stanford-cs229
🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
tsnnay/Stanford-University-Statistical-Learning
Repo for Statistical Learning course offered by Stanford University
tsnnay/TCDF
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
tsnnay/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
tsnnay/Udemy-ML-Masterclass
tsnnay/Udemy-Practical-ML