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Starred repositories
Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.
Disentagnled Graph Collaborative Filtering, SIGIR2020
Normalizing flows in PyTorch. Current intended use is education not production.
PyTorch implementations of algorithms for density estimation
Pytorch implementation of GRU-ODE-Bayes
PyTorch implementation of VQ-VAE by Aäron van den Oord et al.
Anomaly detection for streaming data using autoencoders
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
Convolutional Autoencoder with SetNet in PyTorch
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
conditional variational autoencoder written in Keras [not actively maintained]
XLNet: Generalized Autoregressive Pretraining for Language Understanding
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 mod…
📖 A curated list of resources dedicated to Natural Language Processing (NLP)
An Open-Source Package for Network Embedding (NE)
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
official implementation for the paper "Simplifying Graph Convolutional Networks"
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
This repository implements variational graph auto encoder by Thomas Kipf.
Implementation of "Learning latent subspaces in variational autoencoders"
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)