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algorithm

Algorithm

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

angel

A Flexible and Powerful Parameter Server for large-scale machine learning

bayes

bayesiantutorials

Implementing MCMC sampling from scratch in R for various Bayesian models

cdae

Collaborative Denoising Auto-Encoder for Top-N Recommender Systems

countif.github.io

ctr_prediction

CTR prediction using FM FFM and DeepFM

darknet

Convolutional Neural Networks

darts

Differentiable architecture search for convolutional and recurrent networks

deep-learning-for-recommendation-systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

deeprec

Implementation of Deep Learning based Recommender Algorithms with Tensorflow.

deeprecommender

Deep learning for recommender systems

densenet-tensorflow

Simple Tensorflow implementation of "Densenet" using Cifar10, MNIST

distributetensorflowexample

distribute tensorflow example

dmtk

Microsoft Distributed Machine Learning Toolkit

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

enas_nni

This code is for running enas on nni.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fm_tensorflow

Factorization Machines implementation with Tensorflow

gmm

gprwge

graphgan

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

incubator-singa

Mirror of Apache Singa (Incubating)

irgan

IRGAN SIGIR paper experimental code

keras

Deep Learning for humans

lda-gibbs

lda_study

learning-prml

Thoughts, notes and implementations while learning Pattern Recognition and Machine Learning