poincare-embeddings

Poincaré Embeddings for Learning Hierarchical Representations

ppnp

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank".

prml

PRML algorithms implemented in Python

protgauss

Gaussian representation of protein sequences to predict nucleosome-binding modes of transcription factors

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pytorch-tutorials

s-vae-tf

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

siamcapsnet

Siamese Capsule Networks for Face Verification

simpleselfattention

A simpler version of the self-attention layer from SAGAN, and some image classification results.

sparse-structured-attention

Sparse and structured neural attention mechanisms

sparsemax-pytorch

Implementation of Sparsemax activation in Pytorch

sparsemaxpytorch

SparseMax activation function implementation (ICML 2016) (PyTorch)

structured-self-attention

A Structured Self-attentive Sentence Embedding

tcn

Sequence modeling benchmarks and temporal convolutional networks

tech-interview-handbook

💯 Materials to help you rock your next coding interview

temporal-neighbourhood-aggregation

Code for the Big Data 2019 Paper - Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions

textclassifier

Text classifier for Hierarchical Attention Networks for Document Classification

transregnet

variational-continual-learning

An implementation of Variational Continual Learning (Nguyen et al., 2018) for the Advanced Machine Learning reproducibility challenge (University of Oxford)

voxceleb_trainer

In defence of metric learning for speaker recognition

walk-transformer

From Random Walks to Transformer for Node Embeddings (ECML PKDD 2020) (In Pytorch and Tensorflow)