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draw.io

Source to www.draw.io

dtm

This implements topics that change over time (Dynamic Topic Models) and a model of how individual documents predict that change.

dynamic-nmf

Dynamic Topic Modeling via Non-negative Matrix Factorization

eagcn

Implementation of Edge Attention based Multi-relational Graph Convolutional Networks

ebola

Nextstrain build for Ebola virus

epistemic_inequality

Replication data and code for "Prestige drives epistemic inequality in the diffusion of scientific ideas"

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

faster-rnnlm

Faster Recurrent Neural Network Language Modeling Toolkit with Noise Contrastive Estimation and Hierarchical Softmax

fasttext

Library for fast text representation and classification.

fullstack-course4

Example code for HTML, CSS, and Javascript for Web Developers Coursera Course

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gensim

Topic Modelling for Humans

gephi.github.io

Gephi.org website

gnn-benchmark

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

gnnpapers

Must-read papers on graph neural network (GNN)

google-research

Google AI Research

graph-based-deep-learning-literature

graph-based-nn

Graph Convolutional Networks (GCNs)

graph2gauss

Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".

graph_nets

Build Graph Nets in Tensorflow

infograph

Code for ICLR paper "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization"

introtodeeplearning_labs

Lab Materials for MIT 6.S191: Introduction to Deep Learning

iris

Transformers are Sample Efficient World Models

irkernel

R kernel for Jupyter

kepler.gl

langchangetrack

Package for Statistically significant linguistic change

line

LINE: Large-scale information network embedding

literaturedl4graph

A comprehensive collection of recent papers on graph deep learning

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

network-archaeology

Code for "Network archaeology: Phase transition in the recoverability of network history"