hanfang / glmnet_pyLinks
glmnet for python
☆11Updated 8 years ago
Alternatives and similar repositories for glmnet_py
Users that are interested in glmnet_py are comparing it to the libraries listed below
Sorting:
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 10 years ago
- ☆18Updated 11 years ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 9 years ago
- python convenience functions for working with Stan models (via pystan)☆13Updated 8 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆87Updated 9 years ago
- Materials for a workshop on developing undergraduate classes on Bayesian statistics.☆47Updated 9 years ago
- Python data analysis course for 2017 NGCM Summer Academy☆21Updated 8 years ago
- Comparisons between best subset selection and other popular sparse regression estimators☆89Updated 2 years ago
- Tutorial on multilevel modeling, using Gelman radon example☆58Updated 10 years ago
- Slides and code for Bayesian nonparametrics in R and Julia☆55Updated 10 years ago
- Course materials for STA663☆37Updated 9 years ago
- Simply Statistics on Github☆25Updated 4 years ago
- Generalized lasso implementations☆47Updated last year
- repo for "Optimal Inference After Model Selection"☆15Updated 8 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- This repository holds all course materials for the fall 2015 offering of Statistics 243 at UC Berkeley.☆35Updated 8 years ago
- ☆24Updated 7 years ago
- Library of Stan Models for Survival Analysis☆124Updated 5 years ago
- Materials for the DSI workshops for advanced R topics☆24Updated 7 years ago
- This is a read-only mirror of the CRAN R package repository. dlm — Bayesian and Likelihood Analysis of Dynamic Linear Models☆10Updated last year
- Notes on generalized linear models☆110Updated 7 years ago
- A Semi-Supervised Learning package for the R programming language☆58Updated 3 months ago
- Reproducible & Collaborative Data Science, Fall 2017 - Main class website☆23Updated 8 years ago
- ☆26Updated 9 years ago
- Statistics lecture notes☆35Updated 9 years ago
- ☆38Updated 4 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated 3 months ago
- Dimensionality reduction for binary data☆51Updated 5 years ago
- Biostatistics 301: Introduction to Statistical Computing☆82Updated 7 years ago
- Software for learning sparse Bayesian networks☆42Updated 5 years ago