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☆23Updated 3 years ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆31Updated 4 years ago
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆15Updated 4 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Updated 4 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆72Updated 2 years ago
- ☆37Updated 3 years ago
- Data Twinning☆25Updated 2 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 4 months ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- Measuring if attention is explanation with ROAR☆22Updated 2 years ago
- ☆32Updated 4 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated 2 years ago
- Implementation of the spotlight: a method for discovering systematic errors in deep learning models☆11Updated 4 years ago
- PyTorch tool for training with bigger batch size on the GPU☆11Updated 4 years ago
- The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.☆40Updated 3 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Updated 4 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 5 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 2 years ago
- Active and Sample-Efficient Model Evaluation☆26Updated 6 months ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- A practical Active Learning python package with a strong focus on experiments.☆51Updated 3 years ago
- Measuring data importance over ML pipelines using the Shapley value.☆43Updated 3 months ago
- Vectorizers for a range of different data types☆103Updated 2 months ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆53Updated 2 years ago
- Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"☆13Updated 4 years ago
- A Python package for generating concise, high-quality summaries of a probability distribution☆55Updated last month
- Minimal, standalone library for solving GLMs in PyTorch☆27Updated 4 years ago
- ☆18Updated 3 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Updated 2 years ago
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"☆31Updated 5 years ago