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attentional_factorization_machine

TensorFlow Implementation of Attentional Factorization Machine

autorec

Autorec (Autoencoders Meet Collaborative Filtering)

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

awesome-ml-attacks

awesome-ml-privacy-attacks

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

batch_norm

Implementing Batch-Normalization in tensorflow

bine

BiNE: Bipartite Network Embedding

capsnet-traffic-sign-classifier

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

cnp-clustering

Explore using "Conditional Neural Process" for clustering longitudinal data efficiently

conditional-neural-process

conditional_vae

conditional variational autoencoder written in Keras

curvgn

Curvature Graph Network

danser-www-19

deep-bayesian-active-learning

Code for Deep Bayesian Active Learning (ICML 2017)

dfm

Discrete Factorization Machines

discrete-collaborative-filtering

facegeneration

fang

code for experiments in Grosse and Salakhutdinov, 2015.

fism

implementation for the paper "FISM: Factored Item Similarity Models for Top-N Recommender Systems" by Tensorflow 1.2

gc-mc

generative-models

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

gibbsldapy

A python type of GibbsLDA++

gplatnet

graph-fraud-detection-papers

A curated list of fraud detection papers using graph information or graph neural networks

higher_order_invariance

Code for "Accelerating Natural Gradient with Higher-Order Invariance"

java

All Algorithms implemented in Java

joint-gan

kfac_pytorch

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"