Keh Zheng Xian
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README.md
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@@ -57,7 +57,7 @@ To get started with the model building process, you can follow the instructions
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I am currently working on several improvements and extensions to this project. Some include:
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- Testing a neural network classifier to see if it can improve the accuracy of our predictions
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- Deploying an app on
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## Citations
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- SDV (Synthetic Data Vault): Patki N et al.(2016) The Synthetic Data Vault. IEEE International Conference on Data Science and Advanced Analytics
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- Optuna: Akiba T et al.(2019) Optuna: A Next-generation Hyperparameter Optimization Framework. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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- PyTorch: Paszke A et al.(2019) PyTorch: An Imperative Style High-performance Deep Learning Library. Advances in Neural Information Processing Systems
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- SciKeras: Varma P et al.(2020) SciKeras: a high-level Scikit-Learn compatible API for TensorFlow's Keras module
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I am currently working on several improvements and extensions to this project. Some include:
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- Testing a neural network classifier to see if it can improve the accuracy of our predictions
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- Deploying an app on Gradio to make it easier for users to interact with our models and make predictions
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## Citations
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- SDV (Synthetic Data Vault): Patki N et al.(2016) The Synthetic Data Vault. IEEE International Conference on Data Science and Advanced Analytics
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77 |
- Optuna: Akiba T et al.(2019) Optuna: A Next-generation Hyperparameter Optimization Framework. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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78 |
- PyTorch: Paszke A et al.(2019) PyTorch: An Imperative Style High-performance Deep Learning Library. Advances in Neural Information Processing Systems
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79 |
+
- SciKeras: Varma P et al.(2020) SciKeras: a high-level Scikit-Learn compatible API for TensorFlow's Keras module
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