group_lasso
Coordinate Descent Solver
An implementation of the coordinate descent algorithm for solving sparse group lasso models in Python
39 stars
6 watching
26 forks
Language: Python
last commit: over 12 years ago
Linked from 2 awesome lists
josephmisiti/awesome-machine-learning
jobbole/awesome-machine-learning-cnRelated projects:
| Repository | Description | Stars |
|---|---|---|
 hiroyuki-kasai/sparsegdlibrary | A collection of unconstrained optimization algorithms for sparse modeling in MATLAB | 53 |
 shelsoncao/grarep | A Matlab implementation of a graph representation learning algorithm that incorporates global structural information | 53 |
 pjaselin/cubist | A Python package implementing Quinlan's Cubist regression model for generating rule-based predictive models | 44 |
 iralabdisco/pso-clustering | An implementation of a clustering algorithm using Particle Swarm Optimization (PSO), specifically designed to group similar data points together. | 68 |
 zfancy/sfat | Combating heterogeneity in federated learning by combining adversarial training with client-wise slack during aggregation | 28 |
 brianborchers/peip | MATLAB code for parameter estimation and inverse problems exercises | 99 |
 ropensci/coordinatecleaner | Automated tool to detect and flag spatial and temporal errors in biological data | 79 |
 nust-machine-intelligence-laboratory/jo-src | An implementation of a contrastive learning approach to address noisy labels in machine learning models | 5 |
 pyamg/pyamg | A Python library implementing algebraic multigrid solvers for large-scale linear systems | 578 |
 fanglanting/skip-gram-pytorch | A PyTorch implementation of the skip-gram model for learning word embeddings. | 188 |
 uclanlp/elmo-c | Efficient Contextual Representation Learning Model with Continuous Outputs | 4 |
 springdaisy/gbdt | An implementation of Gradient Boosted Decision Trees with sparse output for high-dimensional data | 0 |
 navdeep-g/h2o3-pam | An implementation of the PAM algorithm in H2O-3 for clustering data. | 1 |
 xiaoboxia/t-revision | A PyTorch implementation of a method for learning with noisy labels in deep neural networks | 97 |
 yuetan031/fedstar | This project implements a federated learning algorithm for non-IID graph classification tasks by leveraging structural knowledge sharing. | 60 |