jmkuebler / auto-tstLinks
AutoML Two-Sample Test
☆19Updated 3 years ago
Alternatives and similar repositories for auto-tst
Users that are interested in auto-tst are comparing it to the libraries listed below
Sorting:
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆24Updated 3 years ago
- ☆37Updated 3 years ago
- Data Twinning☆25Updated 3 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 3 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆75Updated 2 years ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆30Updated 4 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Updated 4 years ago
- Measuring if attention is explanation with ROAR☆22Updated 2 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆53Updated 2 years ago
- BenchBench is a Python package to evaluate multi-task benchmarks.☆18Updated 3 months ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆88Updated last year
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"☆31Updated 5 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Updated 4 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 5 months ago
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆21Updated last year
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- Quantification of Uncertainty with Adversarial Models☆29Updated 2 years ago
- Vectorizers for a range of different data types☆103Updated 3 months ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- Solving the causality pairs challenge (does A cause B) with ChatGPT☆79Updated last year
- Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"☆13Updated 4 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 5 years ago
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆15Updated 4 years ago
- Domain Adaptation☆23Updated 4 years ago
- Extending Conformal Prediction to LLMs☆69Updated last year
- Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.☆44Updated 2 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- ModelDiff: A Framework for Comparing Learning Algorithms☆58Updated 2 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆43Updated 3 years ago
- A Python package for generating concise, high-quality summaries of a probability distribution☆57Updated 2 months ago