RytTnk

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

CollaborativeVAE

PACE2017

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

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

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

Jaist_AWS

Introduction to how to use AWS through JAIST CLOUD

RytTnk.github.io

My web site

Surprise

A Python scikit for building and analyzing recommender systems

Survey

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.

collaborative-rnn

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

DeepFM

Implementation of DeepFM using tensorflow.

entity2rec

entity2rec generates item recommendation from knowledge graphs

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.

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

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

pyprobml

Python code for "Machine learning: a probabilistic perspective"

sequence-based-recommendations

Study

2017 My research project on Point-of-Interest with Deep learning

tens

same with tensorflow/models? but how got this

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-DeepFM

Tensorflow implementation of DeepFM for CTR prediction.