Pinned Repositories
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.
performance_of_topN_recommendation
This is my implementation of [Paolo 2010: Performance of Recommender Algorithms on Top-N Recommendation Tasks]
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"
uchida-takumi's Repositories
uchida-takumi/CustomizedLinear
This is an extended torch.nn.Linear module which mask connection.
uchida-takumi/performance_of_topN_recommendation
This is my implementation of [Paolo 2010: Performance of Recommender Algorithms on Top-N Recommendation Tasks]
uchida-takumi/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"
uchida-takumi/a_simple_hyperparameter_optimization
a simple hyperparameter optimization
uchida-takumi/auto_tune_hyper_parameter_cheat_sheet
how to use hyperopt library
uchida-takumi/DeepNNet-modules-with-TensorFlow
Multiple layer Neural network, LRP(Layer-wise Relevance Propagation)
uchida-takumi/exercize_StochasticGradientDescent
This code is mostly from : https://www.pyimagesearch.com/2016/10/17/stochastic-gradient-descent-sgd-with-python/
uchida-takumi/knowledge_graph_attention_network
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
uchida-takumi/MatrixFactorizationWithAddtionalData
This is a Matrix Factorization which can learn not only user-item rating but also user attributes and item attributes.
uchida-takumi/my_pytorch_cheat_sheet
This is my pytorch cheat sheet code.
uchida-takumi/my_simple_mecab
uchida-takumi/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
uchida-takumi/practice_of_tensor_flow
uchida-takumi/pyFM
Factorization machines in python
uchida-takumi/recommender_system_verification
論文用
uchida-takumi/sagemaker-test
uchida-takumi/sample-app-aoai-chatGPT
Sample code for a simple web chat experience through Azure OpenAI, including Azure OpenAI On Your Data.
uchida-takumi/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
uchida-takumi/simple_python_docker_app
This is a simple python Dockerfile and utilities for my use.
uchida-takumi/thesis_20190715
uchida-takumi/trust-safety-demo
uchida-takumi/user_item_preprocess
preprocess interaction data among user_id, item_id and timestamp.
uchida-takumi/workspace20190505