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2016

RecSys Challenge 2016: job recommendations

algorithms

剑指Offer（第二版）/程序员代码面试指南（第2版）/LeetCode/LintCode

beta-tcvae

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

beta-vae

Beta-VAE implementations in both PyTorch and Tensorflow

coding4interviews

Leetcode、剑指Offer——名企面试官精讲典型编程题

disentangled-representation-papers

A curated list of research papers related to learning disentangled representations

disentangled_vae

Replicating "Understanding disentangling in β-VAE"

gcn

Implementation of Graph Convolutional Networks in TensorFlow

hgru4rec

Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

ijcai-tulvae

source_code for TULVAE

learngit

learning

neural-nlp

Framework for performing NLP deep learning experiments

neural_fingerprints_tf

A TensorFlow implementation of "Convolutional Networks on Graphs for Learning Molecular Fingerprints".

parmesan

Variational and semi-supervised neural network toppings for Lasagne

sae-nad

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

tensorflow-infogan

:dolls: InfoGAN: Interpretable Representation Learning

uestc-course

This repository contains the course materials of University of Electronic Science and Technology of China.

vaes

Variational Autoencoders & Normalizing Flows Project

variational-autoencoder-theano

Variational Autoencoders (VAEs) in Theano for Images and Text

variational-inference-with-normalizing-flows

Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)

vaser