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2019advanced-course-project

2019 Advanced course on digital (hardware) technology using re:rulo ( autonomous robotic vacuum cleaner) equiped with Jetson TX2, Rider, Intel RealSence and so on

2019unirita_mlops_research

Research and develop MLOPs-oriented frameworks, which accelerate data analysis processing and buidling AI system with pipeline management tool and extended functions

autoencoders_cf

autorec

Autorec (Autoencoders Meet Collaborative Filtering)

baby-steps-of-rl-ja

Pythonで学ぶ強化学習 -入門から実践まで- サンプルコード

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

cdae

Collaborative Denoising Auto-Encoder for Top-N Recommender Systems

cdae-1

Collaborative Denoising Auto-Encoder (CDAE)

collaborative-rnn

A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).

collaborativevae

deepfm

Implementation of DeepFM using tensorflow.

dl_rec

From Word Embeddings to Item Recommendation

entity2rec

entity2rec generates item recommendation from knowledge graphs

gowalla-spark-demo

Clustering Checkins with Spark

gru4rec

GRU4Rec is the cleaned & simplified implementation of the algorithm of the "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016. The code is stripped of features that we had found to be unhelpful in increasing accuracy.

hellow_world201612030029

do your best on. 2

jaist_aws

Introduction to how to use AWS through JAIST CLOUD

java-test20161205

java code on test 3

keras_gpyopt

Using Bayesian Optimization to optimize hyper parameter in Keras-made neural network model.

ml_template

Template for data analysis and modeling

models

Models built with TensorFlow

movie_recommendar

Movie recommendation project using wide and deep learning

mxnet-for-cdl

Collaborative Deep Learning for Recommender Systems.

neural_collaborative_filtering

Neural Collaborative Filtering

nimfa

Nimfa - A Python module for nonnegative matrix factorization

openlearning4deeprecsys

Some deep learning based recsys for open learning.

pace

Experiment code for Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI recommendation

pace2017

A step-by-step Keras implementation of PACE (Preference And Context Embedding) described in our KDD 2017 paper.

pyprobml

Python code for "Machine learning: a probabilistic perspective"

recommender

A recommender system using collaborative filtering written in python.