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actinf

Sensorimotor learning using active inference on predictive coding approach

action-oriented

Repository for "Learning action-oriented models through active inference"

active-inference

🧊 🚩Comparison of active inference, q-learning and bayesian rl using modified FrozenLake environment

active-inference-1

Python implementation of a Minimal Active Inference Agent

active-inference-rhi

Active inference agent and corresponding environment in Unity used in the study "A deep active inference model of the rubber-hand illusion"

active-inference-tutorial-scripts

Supplementary scripts for Step-by-step active inference modelling tutorial

activeblockference

activeinferencebpbethe

Python implementation of the Paper "Active inference, belief propagation, and the Bethe approcimation"

actor-critic-methods-paper-to-code

anytime-3d-reconstruction

applied-fp-course

Applied Functional Programming Course - Move from exercises to a working app!

automl-in-action-notebooks

Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"

bayesian-mechanics-sdes

bigdataessentials

Python implementation of data mining algorithms

career-track-data-scientist-with-python

This Repo contains tools that allow us to import, clean, manipulate, and visualize data —Includes Python libraries, like `pandas`, `NumPy`, `Matplotlib`, and many more to work with real-world datasets to learn the statistical and machine learning techniques.

choreographer

[ICLR 2023] Choreographer: a model-based agent that discovers and learns unsupervised skills in latent imagination, and it's able to efficiently coordinate and adapt the skills to solve downstream tasks.

codeandtalk.com

Indexing conferences, videos, podcasts, people

course-plan

📜 Haskell course info, plan, video lectures, slides

cpc_activeinference2018

Tutorial material on active Bayesian inference from the Computational Psychiatry Conference in Zurich 2018

databook_python_steve_brunton

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

datcnn

deanie

An embedded probabilistic programming language.

decisionmaking-ancillaries

Ancillaries for Algorithms for Decision Making

declarative

DIY Markov Chains.

declarative-anneal

An annealing transformer for declarative transition operators.

deep-q-learning-paper-to-code

deep-reinforcement-learning-hands-on-second-edition

Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

deepbayes

Optimizers for performing approximate Bayesian inference on neural network parameters with Tensorflow and JAX

deepbayes-2018

Seminars DeepBayes Summer School 2018

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019