文件名称：图稿序列预测：一个jupyter笔记本，用于预测序列中的下一个图稿
文件大小：242KB
文件格式：ZIP
更新时间：2024-03-16 21:44:22
JupyterNotebook
艺术品序列预测
【文件预览】：
artwork-sequence-prediction-master
----Sequence_prediction_factory.py(4KB)
----Generator_model_factory.py(8KB)
----Sequence_generator_based_previous_most_similar.py(5KB)
----Prepare_artwork_sequence_dataset.ipynb(8KB)
----Prepare_artists_dataset.ipynb(4KB)
----models.py(9KB)
----Prepare_curatornet_dataset.ipynb(94KB)
----Time-series-prediction-one-feature.ipynb(13KB)
----MAE evaluation.ipynb(15KB)
----Artist-Sequence-Prediction-Find-Most-Similar.ipynb(22KB)
----encode_artworks_sequence.ipynb(7KB)
----Abstract_sequence_generation_rnn.py(7KB)
----Time-series-prediction-artist.ipynb(236KB)
----Multivariate-time-series-one-feature.ipynb(12KB)
----arts_preprocess_utils.py(4KB)
----Generate MAE Table.ipynb(5KB)
----Sequence_generator_models.py(502B)
----Artist representation.ipynb(7KB)
----utils_plot.py(2KB)
----Sequence_generation_rnn_embedding.py(2KB)
----Sequence_generation_rnn.py(1KB)
----Prepare_artwork_sequence_kfold_dataset.ipynb(11KB)
----Sequence-generation-most-similar.ipynb(9KB)
----Sequence-Prediction-Find-Most-Similar.ipynb(21KB)
----Prediction_model_feature.py(6KB)
----Word Embedding vectors.ipynb(14KB)
----Prepare impressionist dataset.ipynb(30KB)
----Prepare_word_embedding_dataset.ipynb(5KB)
----.gitignore(259B)
----Sequence_generation_rnn_multivariate.py(2KB)
----Curatornet_MAE_Evaluation.ipynb(16KB)
----Merge_artwork_metadata.ipynb(8KB)
----Sequence-prediction.ipynb(15KB)
----Prediction_model_feature_embeddings.py(820B)
----README.md(30B)
----MAE evaluation plot.ipynb(8KB)
----Sequence_generation_rnn_code_embedding.py(363B)
----Sequence-Prediction-Evaluate.ipynb(10KB)
----Prediction_model_feature_multivariate.py(2KB)
----Prediction_artist_model.py(1KB)