Training Experiment · Jupyter Notebook
wasserstein
What it is
The repository implements and compares two optimization methods (joint mirror descent and simple Wasserstein descent) for estimating mixture proportions from NMR spectra, including hyperparameter tuning and experimental evaluation.
Where it counts
- Machine Learning80%
- Data Science60%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
Around it on the Machine Learning board
Whole board- 27, shared rankneural-style-transfer-cnnML Application · Python58.6AdvancedPop AlexandruMachine Learning
- 27, shared rankrl-livive-netML Application · JavaScript58.6AdvancedJarad PeckenpaughMachine Learning
- 30wassersteinTraining Experiment · Jupyter Notebook58.3Implementationjanwan2003Machine Learning
- 31EmblaV1Architecture Modification / Research · Python57.9Implementationeze770Machine Learning
- 32LeNet_5-from-scratchArchitecture Reimplementation · Jupyter Notebook57.7ImplementationPop AlexandruMachine Learning