paulblomstedt

MixedRPM

Bayesian predictive clustering of data of mixed discrete and continuous type

BA-MBA

Code for "Meta-analysis of Bayesian Analyses"

book-resources

BookCode_Edition1

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Deep-Reinforcement-Learning-Hands-On-Second-Edition

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

dl-fundamentals

Deep Learning Fundamentals -- Code material and exercises

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

fastbook

Draft of the fastai book

forking-workflow-exercise

Exercise to practice collaborative forking workflow.

paulblomstedt/BA-MBA

Code for "Meta-analysis of Bayesian Analyses"

paulblomstedt/notebooks

Notebooks using the Hugging Face libraries 🤗

paulblomstedt/llama_docs_bot

Bottoms Up Development with LlamaIndex - Building a Documentation Chatbot

paulblomstedt/dl-fundamentals

Deep Learning Fundamentals -- Code material and exercises

paulblomstedt/machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

paulblomstedt/introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

paulblomstedt/BookCode_Edition1

paulblomstedt/deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

paulblomstedt/pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

paulblomstedt/pytorch_tabular

A standard framework for modelling Deep Learning Models for tabular data

paulblomstedt/Deep-Reinforcement-Learning-Hands-On-Second-Edition

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

paulblomstedt/dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

paulblomstedt/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 ;)

paulblomstedt/fastbook

Draft of the fastai book

paulblomstedt/RExGC

Retrieval of experiments using gene clustering (RExGC)

paulblomstedt/popdyn_mcmc_pandalus

Bayesian population dynamics model for northern shrimp (Pandalus Borealis)

paulblomstedt/MixedRPM

Bayesian predictive clustering of data of mixed discrete and continuous type

paulblomstedt/Oreilly-Learning-TensorFlow

paulblomstedt/gh-pages-example

Example for gh-pages lesson.

paulblomstedt/forking-workflow-exercise

Exercise to practice collaborative forking workflow.

paulblomstedt/ide-examples

Examples to demonstrate the usage of IDE.

paulblomstedt/book-resources

paulblomstedt/git-rebase-squash-exercise

Git rebase and commit squashing exercise.