+论文 3.7 MB
| bilstm.pdf 479.0 KB
| GRU.pdf 668.0 KB
| lstm.pdf 388.0 KB
| TCN.pdf 1.0 MB
| timeseries.pdf 1.2 MB
+论文对应代码 1.4 GB
|+.idea 4.3 KB
|+__pycache__ 12.7 KB
|+confs 406 Byte
|+data 601.0 MB
|+docs 1.7 MB
|+train_log 770.0 MB
| .gitignore 6.3 KB
| dataset.py 888 Byte
| get_dataset.sh 294 Byte
| LICENSE 11.1 KB
| model.py 4.9 KB
| README.md 498 Byte
| requirements.txt 76 Byte
| train.py 6.3 KB
| utility.py 1.5 KB
| 论文对应代码.pptx 23.5 MB
| 视频论文.pdf 6.3 MB
+实验设计 24.3 MB
| Greedy vig_DAGC.pdf 901.0 KB
| 实验设计.pptx 23.5 MB
AI+科研论文学习路线.pdf 8.4 MB
AI+时序数据学习路线.xmind 3.1 MB
Machine learning for predicting separation factors of chiral diphosphine ligands in chiral extraction of amino acid and mandelic acid enantiomers.pdf 2.0 MB
环境配置指南.docx 10.5 KB
论文笔记.pdf 2.3 MB
论文写作模板.pptx 11.0 MB