meedew

swa_gaussian

Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

normalizing-flows

Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.

normalizing_flows

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

real-nvp

Implementation of Real NVP in PyTorch

ReChorus

“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

disentangled_graph_collaborative_filtering

Disentagnled Graph Collaborative Filtering, SIGIR2020

pytorch-normalizing-flows

Normalizing flows in PyTorch. Current intended use is education not production.

pytorch-flows

PyTorch implementations of algorithms for density estimation

docker-lilypond

Docker image for LilyPond.

gae-pytorch

Graph Auto-Encoder in PyTorch

gru_ode_bayes

Pytorch implementation of GRU-ODE-Bayes

pytorch-vq-vae

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

VAE_anomaly_detection

LSTM-Autoencoders

Anomaly detection for streaming data using autoencoders

neural-processes

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

Autoencoder

Convolutional Autoencoder with SetNet in PyTorch

Semantic-Segmentation-Suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

text-autoencoders

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Conditional_VAE

conditional variational autoencoder written in Keras [not actively maintained]

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding

aravec

AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

OpenNE

An Open-Source Package for Network Embedding (NE)

AmpliGraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

SGC

official implementation for the paper "Simplifying Graph Convolutional Networks"

Recommender-System

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

vgae_pytorch

This repository implements variational graph auto encoder by Thomas Kipf.

latent-subspaces

Implementation of "Learning latent subspaces in variational autoencoders"

vqvae

A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)