epfl-ml4ed / mlbd-2022
Lab Materials for the EPFL Course on Machine Learning for Behavioral Data CS-421, Spring 2022.
☆8Updated last year
Related projects ⓘ
Alternatives and complementary repositories for mlbd-2022
- ☆25Updated last week
- Information and materials for the Turing's "robots-in-disguise" reading group on fundamental AI research.☆33Updated this week
- Extending Conformal Prediction to LLMs☆58Updated 5 months ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆135Updated 5 months ago
- Materials for Applied Data Analysis CS-401, Fall 2022☆24Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆60Updated last year
- A python package for benchmarking interpretability techniques on Transformers.☆212Updated last month
- scikit-activeml: Python library for active learning on top of scikit-learn☆154Updated last week
- ☆10Updated 7 months ago
- Materials for Applied Data Analysis CS-401, Fall 2021☆45Updated last year
- Self-Supervised Learning in PyTorch☆130Updated 8 months ago
- A toolkit for quantitative evaluation of data attribution methods.☆33Updated this week
- The long missing library for python confidence intervals☆132Updated 6 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆122Updated 2 years ago
- List of ML conferences with important dates and accepted paper list☆38Updated this week
- A fairness library in PyTorch.☆26Updated 4 months ago
- MetaQuantus is an XAI performance tool to identify reliable evaluation metrics☆30Updated 7 months ago
- pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation☆109Updated this week
- Data Augmentation with Variational Autoencoders (TPAMI)☆136Updated 2 years ago
- Analyzing different ML model comparison metrics☆11Updated 10 months ago
- Yet another mini autodiff system for educational purposes☆27Updated last week
- Resources for Machine Learning Explainability☆69Updated 2 months ago
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Updated last year
- ☆62Updated 3 months ago
- Repository for CARTE: Context-Aware Representation of Table Entries☆73Updated this week
- A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evalu…☆162Updated last month
- CoSy: Evaluating Textual Explanations☆14Updated last month
- Training and evaluating NBM and SPAM for interpretable machine learning.☆76Updated last year
- Modalities, a PyTorch-native framework for distributed and reproducible foundation model training.☆65Updated this week