BibSonomy

Turns even the largest data into images, accurately.

A library for efficient similarity search and clustering of dense vectors. - GitHub - facebookresearch/faiss: A library for efficient similarity search and clustering of dense vectors.

Force-directed layout algorithms for Python

Using d3.js to create a very basic network graph

Learn how to draw graphs using LaTeX.

In this 3-part blog series we present a unifying perspective on pre-trained word embeddings under a general framework of matrix factorization. The most popular word embedding model, Word2vec, has…

Convolutional Neural Networks for Sentence Classification in PyTorch - Cheneng/TextCNN

When we want to put legend somewhere in a figure using Matplotlib, most of the time, the option loc='best' will produce the desired results. However, sometimes, we may want to have finer control over where the legend should be in the image. For example, we may want to put the legend outside of the axes, which is impossible using loc='best'.

Ridiculously Uncomplicated macOS Python Statusbar apps - jaredks/rumps