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🦜🔗 Build context-aware reasoning applications
A latent text-to-image diffusion model
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
This repository contains implementations and illustrative code to accompany DeepMind publications
Companion webpage to the book "Mathematics For Machine Learning"
A multi-voice TTS system trained with an emphasis on quality
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
A course in reinforcement learning in the wild
"Probabilistic Machine Learning" - a book series by Kevin Murphy
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Self-study on Larry Wasserman's "All of Statistics"
A tutorial on Julia DataFrames package
Materials of the Nordic Probabilistic AI School 2022.
A short, opinionated guide to object orientation and polymorphism in Julia
Materials of the Nordic Probabilistic AI School 2023.
Hands-on tutorials at EEML2022 summer school
Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
Hybrid Deep Reinforcement Learning for Intelligent Traffic Signal Control