Generalized Linear Models in Sklearn Style
☆131Apr 22, 2020Updated 6 years ago
Alternatives and similar repositories for py-glm
Users that are interested in py-glm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Basis expansion transformers in sklearn style.☆96May 5, 2020Updated 6 years ago
- Visualizations of various one-dimensional smoothers using the d3 javascript library.☆18Sep 21, 2017Updated 8 years ago
- Matplotlib style for scientific publications☆14Jul 13, 2026Updated last week
- Special functions written in Python and accelerated by Numba☆11Apr 22, 2019Updated 7 years ago
- Bayesian Additive Regression Trees For Python☆232Dec 22, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A python port of the glmnet package for fitting generalized linear models via penalized maximum likelihood.☆269Jul 24, 2024Updated last year
- A scientific publication, describing a way to improve microscopy. This repository hosts everything you need to reproduce our results. Rea…☆13Jun 22, 2024Updated 2 years ago
- Gaussian Process Factor Analysis☆32Aug 27, 2015Updated 10 years ago
- BAyesian Model-Building Interface (Bambi) in Python.☆1,284Updated this week
- A collection of different PyTorch wrappers for training neural networks and reinforcement algorithms☆13Dec 15, 2022Updated 3 years ago
- A colourful collection of codes and notebooks, like Planet Sakaar☆55Apr 5, 2023Updated 3 years ago
- Things we use regularly☆30Jun 11, 2026Updated last month
- ☆17Jan 6, 2025Updated last year
- Topology Aware Task Mapping Tool☆14Jul 27, 2016Updated 9 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Python package for computing partial information decomposition.☆13Mar 15, 2019Updated 7 years ago
- Convert LaTeX beamer files to Jupyter/IPython notebooks and RISE☆25Aug 28, 2025Updated 10 months ago
- Probabilistic single-cell pseudotime with Edward+Tensorflow☆12Oct 5, 2017Updated 8 years ago
- Seven Bridges Genomics aligner/caller debugging and analysis tools☆13Nov 20, 2018Updated 7 years ago
- Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction☆36Apr 29, 2026Updated 2 months ago
- Preprocessing and analysis scripts for the dPCA paper (eLife 2016)☆10Jul 15, 2016Updated 10 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127May 22, 2016Updated 10 years ago
- Interpret perturbation responses from scRNA-seq perturbation experiments☆16Mar 4, 2025Updated last year
- My best submission to the Kaggle competition "Online Product Sales", ranked 21th over 366 teams.☆30Jul 4, 2012Updated 14 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- GMap: Graph-to-Map visualization tool☆22Jun 11, 2021Updated 5 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆42Mar 3, 2016Updated 10 years ago
- Discrete Distributional Differential Expression☆23Jan 3, 2019Updated 7 years ago
- Explainable Data Science Course☆14Oct 8, 2020Updated 5 years ago
- This is our Compiler Design project for 6th semester.☆12May 15, 2022Updated 4 years ago
- ☆13Mar 3, 2019Updated 7 years ago
- Use rstudio flexdashboards to create random stats assignments☆17Jan 4, 2022Updated 4 years ago
- LaTeX author support files for IMS journal AOAS.☆12Mar 10, 2026Updated 4 months ago
- Preprocessing toolbox for rat rs-fMRI data☆12Mar 16, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Human Primary T cells: A Practical Guide☆15Sep 18, 2018Updated 7 years ago
- Code associated with MIX-seq manuscript☆15Aug 26, 2020Updated 5 years ago
- Inference for partially observed Markov chains☆20May 23, 2017Updated 9 years ago
- Epigenetic Variability and Transcription Factor Motifs Analysis Pipeline☆32Oct 9, 2017Updated 8 years ago
- Dynamic Time Warping (DTW) and related algorithms in Julia☆13Mar 8, 2020Updated 6 years ago
- Library of Stan Models for Survival Analysis☆123Jul 15, 2020Updated 6 years ago
- Plugins for Phy2☆20May 13, 2025Updated last year