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Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Free MLOps course from DataTalks.Club
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Probabilistic reasoning and statistical analysis in TensorFlow
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
🎲 Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
Implementation of various topic models
Hidden Markov Model Part of Speech tagger project
❓y0 (pronounced "why not?") is for causal inference in Python
A Tutorial on Deep Reinforcement Learning in PyTorch