Fast hyperparameter settings for non-smooth estimators:
☆42May 22, 2023Updated 2 years ago
Alternatives and similar repositories for sparse-ho
Users that are interested in sparse-ho are comparing it to the libraries listed below
Sorting:
- Python packages for Support Vector Regression with Linear Constraints☆10Jul 9, 2020Updated 5 years ago
- This code is no longer maintained. The codebase has been moved to https://github.com/scikit-learn-contrib/skglm. This repository only ser…☆18Nov 29, 2022Updated 3 years ago
- Software dev. for data science (Python)☆15May 1, 2025Updated 10 months ago
- ☆13Feb 4, 2026Updated last month
- Benchmark library for high-dimensional HPO of black-box models based on Weighted Lasso regression☆15Feb 15, 2026Updated last month
- Fast and modular sklearn replacement for generalized linear models☆193Sep 30, 2025Updated 5 months ago
- A framework for reproducible, comparable benchmarks☆300Updated this week
- Code for MGDM algorithm, ICML 2025, https://arxiv.org/abs/2502.03332☆15May 19, 2025Updated 10 months ago
- ☆11Jun 2, 2021Updated 4 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Oct 6, 2022Updated 3 years ago
- A lightweight deep learning framework☆34Feb 28, 2021Updated 5 years ago
- Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.☆238Jun 10, 2025Updated 9 months ago
- GAP Safe Screening Rules for Sparse-Group Lasso.☆15Jul 24, 2018Updated 7 years ago
- Gradient-based Hyperparameter Optimization Over Long Horizons☆14Sep 29, 2021Updated 4 years ago
- Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"☆23Oct 24, 2021Updated 4 years ago
- Nonconvex Exterior Point Operator Splitting☆15Apr 27, 2024Updated last year
- A Fast sketching based solver for large scale ridge regression☆17Jun 7, 2024Updated last year
- Modular Optimisation tools for solving inverse problems☆28Jan 22, 2026Updated 2 months ago
- ☆14Jun 8, 2023Updated 2 years ago
- IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs☆13Oct 23, 2025Updated 4 months ago
- Tutorial to start working with Multiple Instance Learning☆14Jul 5, 2023Updated 2 years ago
- ☆19Jan 20, 2020Updated 6 years ago
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆74Apr 28, 2022Updated 3 years ago
- Software support for the Temperature Control Laboratory.☆14Jan 27, 2023Updated 3 years ago
- ☆38Feb 10, 2023Updated 3 years ago
- Reinforcement Learning class☆12Jan 29, 2026Updated last month
- Convert CVXPY expressions to PyTorch expressions☆19Jul 8, 2025Updated 8 months ago
- ☆16Feb 25, 2026Updated 3 weeks ago
- Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations☆29Nov 26, 2022Updated 3 years ago
- A geodesic interior-point method for symmetric cone optimization☆18Jul 31, 2023Updated 2 years ago
- Pytorch implementation of SuperPolyak subgradient method.☆43Nov 18, 2022Updated 3 years ago
- Simple and extensible hypergradient for PyTorch☆18Feb 23, 2023Updated 3 years ago
- Black-box Optimizer based on Bayesian Optimization☆159Apr 15, 2024Updated last year
- Code generation with CVXPY☆179Feb 19, 2026Updated last month
- ☆17Dec 19, 2024Updated last year
- Source code for the examples accompanying the paper "Learning convex optimization control policies."☆85Nov 14, 2022Updated 3 years ago
- Fast IRLS code for solving p-norm regression problems☆14Feb 2, 2020Updated 6 years ago
- Flow Contrastive Estimation (FCE) PyTorch Implementation on 2D data☆11May 20, 2022Updated 3 years ago
- ☆26Dec 14, 2023Updated 2 years ago