ptoulis / implicit-sgdLinks
Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.
☆16Updated 10 years ago
Alternatives and similar repositories for implicit-sgd
Users that are interested in implicit-sgd are comparing it to the libraries listed below
Sorting:
- Software for learning sparse Bayesian networks☆43Updated 4 years ago
- Fast k-Nearest Neighbors Classifier for Large Datasets☆69Updated 7 years ago
- Mirror of Apache Spark☆24Updated 9 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 11 years ago
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20Updated 7 years ago
- An R package for better visualizing a statistical learning model☆35Updated 2 years ago
- Fast, principled L1-regularized loss minimization☆24Updated last year
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year
- Supervised Distance Metric Learning with R☆20Updated 6 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated last year
- Restricted Boltzmann Machines in R☆36Updated 4 years ago
- Deepboost R-package for submission☆19Updated 7 years ago
- Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo☆52Updated 12 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016☆26Updated 8 years ago
- R Interface for LightGBM☆47Updated 7 years ago
- ☆31Updated 9 years ago
- These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.☆17Updated 7 years ago
- Torch package for metric learning.☆43Updated 8 years ago
- A system for blending regression models in R☆75Updated 12 years ago
- Dimensionality reduction for binary data☆50Updated 4 years ago
- Create deep architectures in the R programming language☆71Updated 7 years ago
- Benchmarks of the H2O Ensemble R interface (H2O 2.0).☆14Updated 4 years ago
- Code and data for "The Geometry of Classifiers"☆26Updated 5 years ago
- ☆12Updated 7 years ago
- Module 7: Introduction to D3.js☆21Updated 9 years ago
- An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.☆46Updated 10 years ago
- R package for Distance Metric Learning☆58Updated 2 years ago
- Image Classification using MXNetR☆55Updated 8 years ago
- Some recommendation algorithms and research☆12Updated 8 years ago