Lingkai-Kong/so-ebm
Code for paper: End-to-end Stochastic Optimization with Energy-based Model
This is a research project exploring advanced techniques for solving stochastic optimization problems. It takes in specific model configurations and training parameters, then outputs trained models that can be used for evaluation. This is primarily a tool for machine learning researchers and academics focused on optimization and energy-based models.
No commits in the last 6 months.
Use this if you are a machine learning researcher studying or implementing novel approaches to end-to-end stochastic optimization using energy-based models.
Not ideal if you are looking for a ready-to-use solution for general optimization tasks in business or scientific domains.
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Python
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Last pushed
Feb 14, 2023
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