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This is a repo with links to everything you'd ever want to learn about data engineering
Deep Learning and XAI Techniques for Anomaly Detection, published by Packt
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transformer models.
Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
A curated list of causal inference libraries, resources, and applications.
Practical Guide to Applied Conformal Prediction, published by Packt
Compendium of free ML reading resources
World beating online covariance and portfolio construction.
Understanding Deep Learning - Simon J.D. Prince
Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Machine Learning Engineering on AWS, published by Packt
Free MLOps course from DataTalks.Club
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
Learn how to create, develop, and maintain a state-of-the-art MLOps code base
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
The repository to showcase the best framework for tabular data - the Awesome CatBoost