| AmazingDD/daisyRec |
496 |
|
0 |
0 |
about 3 years ago |
16 |
August 14, 2022 |
0 |
mit |
Python |
| This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" and of several follow-up studies. |
| zepingyu0512/srnn |
459 |
|
0 |
0 |
over 7 years ago |
0 |
|
13 |
|
Python |
| sliced-rnn |
| orcax/PGPR |
194 |
|
0 |
0 |
over 3 years ago |
0 |
|
8 |
|
Python |
| Reinforcement Knowledge Graph Reasoning for Explainable Recommendation |
| HKUST-KnowComp/FMG |
115 |
|
0 |
0 |
about 6 years ago |
0 |
|
1 |
|
MATLAB |
| KDD17_FMG |
| gcucurull/visual-compatibility |
98 |
|
0 |
0 |
about 3 years ago |
0 |
|
14 |
|
Python |
| Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646) |
| aws-samples/amazon-sagemaker-keras-text-classification |
91 |
|
0 |
0 |
about 6 years ago |
0 |
|
6 |
apache-2.0 |
Jupyter Notebook |
| A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker |
| awslabs/sagemaker-explaining-credit-decisions |
87 |
|
0 |
0 |
almost 3 years ago |
0 |
|
8 |
apache-2.0 |
Python |
| Amazon SageMaker Solution for explaining credit decisions. |
| philipperemy/amazon-reviews-scraper |
82 |
|
0 |
0 |
almost 5 years ago |
0 |
|
3 |
apache-2.0 |
Python |
| Yet another multi language scraper for Amazon targeting reviews. |
| awslabs/amazon-asdi |
75 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
apache-2.0 |
Jupyter Notebook |
| Docs and supporting material for the Amazon Sustainability Data Initiative. |
| aws-samples/aws-fraud-detector-samples |
63 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit-0 |
HTML |
| Sample code and datasets for Amazon Fraud Detector |
