A library for decision making using expert systems and text similarity
Project description
Title
Abstract:xxx
Papar Information
- Title:
paper name - Authors:
A,B,C - Preprint: https://arxiv.org/abs/xx
- Full-preprint: paper position
- Video: video position
Install & Dependence
- python
- pytorch
- numpy
Dataset Preparation
| Dataset | Download |
|---|---|
| dataset-A | download |
| dataset-B | download |
| dataset-C | download |
Use
- for train
python train.py - for test
python test.py
Pretrained model
| Model | Download |
|---|---|
| Model-1 | download |
| Model-2 | download |
| Model-3 | download |
Directory Hierarchy
|—— setup.py
|—— thesisbot
| |—— decision_engine.py
| |—— static
| |—— css
| |—— style.css
| |—— js
| |—— script.js
| |—— templates
| |—— index.html
| |—— __init__.py
Code Details
Tested Platform
- software
OS: Debian unstable (May 2021), Ubuntu LTS Python: 3.8.5 (anaconda) PyTorch: 1.7.1, 1.8.1 - hardware
CPU: Intel Xeon 6226R GPU: Nvidia RTX3090 (24GB)
Hyper parameters
References
License
Citing
If you use xxx,please use the following BibTeX entry.
Release history Release notifications | RSS feed
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