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082-m3tn-multi-gate-mixture-of-experts-based-multi-valued-treatment-network-for-uplift-modeling

https://github.com/szu-advtech-2024/082-m3tn-multi-gate-mixture-of-experts-based-multi-valued-treatment-network-for-uplift-modeling

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (2.3%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: SZU-AdvTech-2024
  • Default Branch: main
  • Size: 0 Bytes
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Citation

https://github.com/SZU-AdvTech-2024/082-M3TN-Multi-Gate-Mixture-of-Experts-Based-Multi-Valued-Treatment-Network-for-Uplift-Modeling/blob/main/ 

# 


# 
M3TN[8]EFINcriteo

## 


```bash
CUDA_VISBLE_DEVICES=0,1,2,3,4,5,6,7 python3 -m torch.distributed.launch --nproc_per_node=8 --master_port 12466 --use_env tune_m3tn.py
```

## 
```bash
https://www.kaggle.com/datasets/mrkmakr/criteo-dataset?resource=download
```

## 
```bash
project/
 datax/         # 
 tables/        # 
 models/        # 
 utils/         # 
 README.md      # 
```

Owner

  • Name: SZU-AdvTech-2024
  • Login: SZU-AdvTech-2024
  • Kind: organization

GitHub Events

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