JuliaSmoothOptimizers / JuliaSmoothOptimizers/OptimizationProblems.jl
Benchopt suite for machine learning
- Dominant language
- Julia
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- 90
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Description
It would be nice to support the [Benchopt](https://github.com/benchopt/benchopt) problem suite, which is also available in Python:
- [ ] Ordinary Least Squares
- [ ] Non-Negative Least Squares
- [ ] LASSO: L1-Regularized Least Squares
- [ ] LASSO Path
- [ ] Elastic Net
- [ ] MCP
- [ ] L2-Regularized Logistic Regression
- [ ] L1-Regularized Logistic Regression
- [ ] L2-regularized Huber regression
- [ ] L1-Regularized Quantile Regression
- [ ] Linear SVM for Binary Classification
- [ ] Linear ICA
- [ ] Approximate Joint Diagonalization
- [ ] 1D Total Variation Denoising
- [ ] 2D Total Variation Denoising
- [ ] ResNet Classification
- [ ] Bilevel Optimization
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