Population Estimation with Mark-Recapture experiments

interactive

Interactive Graph: Renewable Resource System Model output

interactive • quick

Systems Modeling from scratch

jupyter

Climate classification with Keras

jupyter • quick • keras • deep learning

Neural style transfer

jupyter • keras • deep learning

Implementing Belief Propagation in Python

jupyter • machine learning concept demo

Master's thesis on convolutional encoders in seq2seq neural lemmatization

writing • ML

Illustration of an Encoder-Decoder Sequence-to-Sequence neural network

ML

Illustration of max-pooling in NLP

KL Divergence

Using computer vision to segment photos of bookshelves

python • cv

Cheatsheet for parsing XML in Python

Python

Training hundreds of neural networks

Quick post on spaCy

jupyter • quick • nlp

Climate classification with neural networks

jupyter • deep learning

Getting started with querying DBpedia

Using Bayesian inference to pick Coffee Shops

jupyter • bayesian

Samples from Dirichlet distribution

Logistic Regression

Multidimensional Scaling

Regression with Gaussian Processes

Plotting Library Catalog Subjects

Singular Value Decomposition Demo

Inference in Hidden Markov Models continued: Viterbi Algorithm

Bayesian linear regression with `pymc3`

Gibbs Sampling in Python

Reading Jupyter notebooks into Python

Digitizing notes as a learning tool

note-taking

SmallNORB

Inference in discrete state Hidden Markov Models using numpy

Bayesian Linear Regression part 4: Plots

Bayesian Linear Regression part 3: Posterior

Bayesian Linear Regression part 2: demo data

Bayesian Linear Regression part 1: plotting samples from the weight prior

numpy.einsum

machine learning concept demo

Implementing convolutions with stride_tricks

Daylight Project: Part 2, travel.org

emacs • org-mode

Daylight Project: Part 1, the result

Podcast Player, overview

Talking LED

raspberrypi