Jesper Wohlert's starred repositories
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Kalman-and-Bayesian-Filters-in-Python
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 filters, and more. All exercises include solutions.
neural-enhance
Super Resolution for images using deep learning.
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Practical_RL
A course in reinforcement learning in the wild
c-algorithms
A library of common data structures and algorithms written in C.
fast-wavenet
Speedy Wavenet generation using dynamic programming :zap:
notes-on-dirichlet-processes
:game_die: Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
arc-pytorch
The first public PyTorch implementation of Attentive Recurrent Comparators
stick-breaking_dgms
Deep Generative Models with Stick-Breaking Priors
agentmodels.org
Modeling agents with probabilistic programs
SCAN-from-betaVAE
Pytorch implementation of SCAN: Learning Abstract Hierarchical Compositional Visual Concepts