uchida-takumi Goto Github PK

a_simple_hyperparameter_optimization

a simple hyperparameter optimization

auto_tune_hyper_parameter_cheat_sheet

how to use hyperopt library

customizedlinear

This is an extended torch.nn.Linear module which mask connection.

deepnnet-modules-with-tensorflow

Multiple layer Neural network, LRP(Layer-wise Relevance Propagation)

exercize_stochasticgradientdescent

This code is mostly from : https://www.pyimagesearch.com/2016/10/17/stochastic-gradient-descent-sgd-with-python/

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

matrixfactorizationwithaddtionaldata

This is a Matrix Factorization which can learn not only user-item rating but also user attributes and item attributes.

my_pytorch_cheat_sheet

This is my pytorch cheat sheet code.

my_simple_mecab

papers_i_read

自分が読んだ論文のメモを保存しているだけです

performance_of_topn_recommendation

This is my implementation of [Paolo 2010: Performance of Recommender Algorithms on Top-N Recommendation Tasks]

practice_of_tensor_flow

pyfm

Factorization machines in python

recommender_system_verification

論文用

sagemaker-test

sample-app-aoai-chatgpt

Sample code for a simple web chat experience through Azure OpenAI, including Azure OpenAI On Your Data.

semi-automated-tagging-jp-doc

これは半分手動で日本語ドキュメントにタグをつけるプロセスをまとめたものです。MeCabとtf–idf

simple_python_docker_app

This is a simple python Dockerfile and utilities for my use.

thesis_20190715

trust-safety-demo

tutorial_of_a_journal_paper_01

This is my tutorial repository to study on the journal paper whose name is "Addressing Cold Start in Recommender Systems: A Semi-supervised Co-training Algorithm"

user_item_preprocess

preprocess interaction data among user_id, item_id and timestamp.

workspace20190505