Approximate knockoffs and model-free variable selection.
☆58Oct 12, 2021Updated 4 years ago
Alternatives and similar repositories for deepknockoffs
Users that are interested in deepknockoffs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep direct likelihood knockoffs☆12Feb 2, 2021Updated 5 years ago
- A versatile interface to the knockoff methodology.☆26Apr 1, 2022Updated 4 years ago
- Knockoffs for controlled variable selection☆41Jul 12, 2025Updated 11 months ago
- DeepPINK: reproducible feature selection in deep neural networks☆23Mar 1, 2024Updated 2 years ago
- Error-controlled interaction discovery in machine learning models☆25Jun 24, 2025Updated 11 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Deep Large-Scale Inference UsingKnockoffs☆11Nov 4, 2021Updated 4 years ago
- A flexible tool for the multi-resolution localization of causal variants across the genome☆11Feb 19, 2021Updated 5 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Mar 19, 2021Updated 5 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Jul 5, 2018Updated 7 years ago
- Extension of Convex.jl for disciplined multiconvex optimization☆10Feb 22, 2017Updated 9 years ago
- ☆22Jul 28, 2020Updated 5 years ago
- Bidirectional Helmholtz Machines☆40Nov 28, 2015Updated 10 years ago
- DGCIT: Double Generative Adversarial Networks for Conditional Independence Testing☆11Nov 22, 2023Updated 2 years ago
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆17Jan 6, 2026Updated 5 months 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.
- Nonlinear Granger causality inference with neural networks for high-resolution mass spectrometry☆14Oct 31, 2021Updated 4 years ago
- ☆20Mar 6, 2024Updated 2 years ago
- ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language☆15Jul 4, 2019Updated 6 years ago
- Resources for grounding protein families and complexes from text and describing their hierarchical relationships.☆18Mar 26, 2026Updated 2 months ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Apr 19, 2016Updated 10 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆30Oct 6, 2022Updated 3 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
- Granger causality testing in High Dimensional Vector Autoregressive Models☆19Jun 5, 2026Updated 2 weeks ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ordered multinomial models☆12Updated this week
- Attraction-Repulsion Spectrum in Neighbor Embeddings☆30Sep 24, 2022Updated 3 years ago
- This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For m…☆25Sep 21, 2022Updated 3 years ago
- Low-rank Highway Networks☆13Mar 11, 2016Updated 10 years ago
- This repository is deprecated. The extension has moved to https://github.com/jupyterlab/jupyter-renderers☆16Aug 26, 2017Updated 8 years ago
- ☆19Feb 14, 2024Updated 2 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Jul 11, 2019Updated 6 years ago
- Basic OpenMendel tutorials☆11Jul 24, 2022Updated 3 years ago
- Cross-prediction-powered inference☆15Apr 26, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Perform differential expression analysis on cohort-scale single cell datasets using linear mixed models☆23May 22, 2026Updated 3 weeks ago
- Code for our ICML '19 oral paper: Neural Network Attributions: A Causal Perspective.☆51Nov 20, 2021Updated 4 years ago
- UAI 2020. Kernel goodness-of-fit tests for conditional density models.☆10Jul 27, 2020Updated 5 years ago
- Codes for "Understanding MCMC Dynamics as Flows on the Wasserstein Space" (ICML-19)☆11Nov 17, 2019Updated 6 years ago
- Extracting neuronal functional network dynamics via adaptive Granger causality analysis☆19Mar 29, 2018Updated 8 years ago
- An implementation of LassoNet for arbitrary network architectures☆14Nov 4, 2022Updated 3 years ago
- Statistical inference for fairness auditing☆14Aug 2, 2023Updated 2 years ago