Software for selective inference
☆18Apr 25, 2023Updated 2 years ago
Alternatives and similar repositories for selective-inference
Users that are interested in selective-inference are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A multi-algorithm Python framework for regularized regression☆13Oct 31, 2023Updated 2 years ago
- R software for selective inference☆38Sep 5, 2019Updated 6 years ago
- Python software for selective inference☆53Apr 25, 2023Updated 2 years ago
- Spectral Alignment of Graphs☆11Mar 26, 2017Updated 8 years ago
- A Limited-Memory Quasi-Newton Algorithm for Bound-Constrained Nonsmooth Optimization☆13Dec 23, 2016Updated 9 years ago
- Material for the DataLucence:Images course☆10Jun 14, 2017Updated 8 years ago
- Statistics lecture notes☆35Mar 24, 2016Updated 9 years ago
- Isotonic Distributional Regression (IDR)☆18Nov 13, 2023Updated 2 years ago
- Python-based framework for computational immunomics☆15Mar 13, 2026Updated last week
- Homework for STAT 205A - Berkeley☆13Dec 9, 2014Updated 11 years ago
- Awesome list of practices, tools and products especially useful in your startup adventure(s).☆12Sep 19, 2018Updated 7 years ago
- ☆11Jul 13, 2018Updated 7 years ago
- mixed membership stochastic block model☆13Jun 8, 2016Updated 9 years ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Mar 14, 2022Updated 4 years ago
- Efficient Conformal Prediction via Cascaded Inference with Expanded Admission☆20Sep 15, 2021Updated 4 years ago
- Analysis code for the TAP-seq manuscript.☆11Jun 25, 2021Updated 4 years ago
- Array APIs to write ONNX Graphs☆11Jan 18, 2026Updated 2 months ago
- a set of R functions that I find useful☆20Nov 18, 2017Updated 8 years ago
- A collection of papers and books that Storey Lab members should read and others may find useful☆48Oct 19, 2015Updated 10 years ago
- IntelliJ Pyxl Extensions☆20Apr 15, 2019Updated 6 years ago
- Perform bayesian distribution regression☆13Mar 19, 2018Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Jun 21, 2019Updated 6 years ago
- restore redis db from .rdb backup into docker container☆13Nov 2, 2016Updated 9 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 4 years ago
- LibCP -- A Library for Conformal Prediction☆13Feb 26, 2015Updated 11 years ago
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆14Feb 24, 2026Updated 3 weeks ago
- Sequential Neural Likelihood☆42Sep 12, 2019Updated 6 years ago
- ☆26Jan 13, 2014Updated 12 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- NOCAD - Network based Observability and Controlability Analysis of Dynamical Systems toolbox for MATLAB and Octave☆13Jul 15, 2019Updated 6 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Jul 19, 2018Updated 7 years ago
- Empirical Bayes methods for single cell data☆17Oct 12, 2020Updated 5 years ago
- Identifying Near-Earth Asteroids (NEAs) in the Zwicky Transient Facility (ZTF) data with deep learning☆18May 1, 2023Updated 2 years ago
- PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]☆23Mar 6, 2021Updated 5 years ago
- Python algorithms for regularized regression☆24Sep 7, 2015Updated 10 years ago
- Decomposition-based peak identification, which find peaks across a large number of TSS (transcription starting site) profiles☆15Aug 3, 2017Updated 8 years ago
- BiSPy : a python framework for signal processing of bivariate signals☆24Nov 15, 2024Updated last year
- The Penalized Linear Dynamical System Project☆18Nov 5, 2016Updated 9 years ago
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆17Nov 14, 2023Updated 2 years ago