The official codebase for Predictive Inference with Feature Conformal Prediction
☆36Apr 9, 2023Updated 3 years ago
Alternatives and similar repositories for FeatureCP
Users that are interested in FeatureCP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆24May 25, 2022Updated 4 years ago
- An implementation of Self-Calibrating Conformal Prediction, accepted to Neurips 2024. SC-CP combines Venn-Abers calibration and conformal…☆14Apr 16, 2026Updated 5 months ago
- A package for conformal prediction with conditional guarantees.☆71Oct 7, 2025Updated 11 months ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆258Jan 23, 2023Updated 3 years ago
- This projects contains different conformal methods and approaches. Includes code generated for a experimental evaluation of a multidimens…☆18Apr 9, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆13Jun 13, 2022Updated 4 years ago
- Conditional calibration of conformal p-values for outlier detection.☆39Nov 15, 2022Updated 3 years ago
- ☆13Nov 30, 2023Updated 2 years ago
- ☆12Jan 31, 2022Updated 4 years ago
- Official source code of ICDM2023 paper "Hypergraph Contrastive Learning for Drug Trafficking Community Detection".☆11Nov 3, 2023Updated 2 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆73Nov 17, 2024Updated last year
- Code for "Improving Expert Predictions with Conformal Prediction" , ICML 2023☆14Aug 20, 2024Updated 2 years ago
- ☆10Mar 11, 2022Updated 4 years ago
- Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling☆13May 8, 2023Updated 3 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.
- Official implementation of the NeurIPS 2023 paper: "Uncertainty Quantification via Neural Posterior Principal Components"☆13Jun 18, 2024Updated 2 years ago
- Uncertainty quantification of molecular property prediction using Bayesian deep learning☆46Feb 14, 2019Updated 7 years ago
- Roleplay Therapy is a Python script that utilizes the OpenAI API to generate a conversation between two actors discussing a given topic. …☆19Feb 5, 2025Updated last year
- Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes [NeurIPS2021]☆13Feb 3, 2026Updated 7 months ago
- Semantic Scene Completion via Integrating Instances and Scene in-the-Loop☆14Jan 26, 2022Updated 4 years ago
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Mar 8, 2023Updated 3 years ago
- ☆11Jun 22, 2022Updated 4 years ago
- Kinase–drug binding prediction with calibrated uncertainty quantification☆23Jan 23, 2024Updated 2 years ago
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…☆29Jun 28, 2024Updated 2 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.
- Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"☆13Apr 21, 2024Updated 2 years ago
- Large-scale uncertainty benchmark in deep learning.☆70May 10, 2025Updated last year
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆19Aug 4, 2023Updated 3 years ago
- Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019)…☆16May 26, 2022Updated 4 years ago
- Core codes for the paper ["A General Data-driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Spl…☆14Jan 17, 2024Updated 2 years ago
- Source codes of the paper "Hierarchical Pretraining on Multimodal Electronic Health Records".☆21Apr 10, 2024Updated 2 years ago
- Lightweight, useful implementation of conformal prediction on real data.☆1,091Nov 14, 2025Updated 10 months ago
- Source code accompanying the 'MF-PCBA: Multi-fidelity high-throughput screening benchmarks for drug discovery and machine learning' paper☆35Jul 29, 2025Updated last year
- This framework implements key experiments on the sparse double descent phenomenon (ICML 2022).☆15Dec 13, 2022Updated 3 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.
- ☆22Aug 14, 2025Updated last year
- Implementation of paper: Extending and Analyzing Self-Supervised Learning Across Domains☆10Jan 10, 2021Updated 5 years ago
- Bayesian MPNNs for Molecular Property Prediction☆30Dec 30, 2020Updated 5 years ago
- Python Code used in publications, for archival purposes only☆20Apr 28, 2023Updated 3 years ago
- Discord bot that notifies new sales of NFT marketplaces such as Nifty Gateway☆13Apr 5, 2021Updated 5 years ago
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆28Aug 22, 2023Updated 3 years ago
- Examples of conformal prediction. Manual calculation, and using the MAPIE package.☆23Dec 1, 2023Updated 2 years ago