Climate classification with Keras

jupyter • projects • quick

Neural style transfer

jupyter • quick

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

Climate classification with neural networks

jupyter • projects

Getting started with querying DBpedia

Using Bayesian inference to pick Coffee Shops

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

jupyter

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