pietrobarbiero / pytorch_explainLinks
PyTorch Explain: Interpretable Deep Learning in Python.
☆160Updated last year
Alternatives and similar repositories for pytorch_explain
Users that are interested in pytorch_explain are comparing it to the libraries listed below
Sorting:
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆51Updated 2 years ago
- Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI☆54Updated 3 years ago
- OpenXAI : Towards a Transparent Evaluation of Model Explanations☆247Updated last year
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Updated 2 years ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆52Updated last year
- XAI-Bench is a library for benchmarking feature attribution explainability techniques☆70Updated 2 years ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- Library that contains implementations of machine learning components in the hyperbolic space☆141Updated last year
- Repository for our NeurIPS 2022 paper "Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off" and our NeurIPS 2023 paper…☆68Updated last month
- Code for Language-Interfaced FineTuning for Non-Language Machine Learning Tasks.☆130Updated 10 months ago
- Neural Additive Models (Google Research)☆71Updated 3 years ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆103Updated last week
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated last year
- Scrape papers from OpenReview using OpenReview API☆53Updated 6 months ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- A toolkit for quantitative evaluation of data attribution methods.☆53Updated 2 months ago
- Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)☆153Updated 3 years ago
- Testing Language Models for Memorization of Tabular Datasets.☆35Updated 7 months ago
- ☆139Updated last year
- Research on Tabular Foundation Models☆56Updated 9 months ago
- Diffusion Models for Causal Discovery☆85Updated 2 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Optimal Transport Dataset Distance☆170Updated 3 years ago
- Extending Conformal Prediction to LLMs☆67Updated last year
- ☆17Updated 2 years ago
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆21Updated 2 years ago
- OpenDataVal: a Unified Benchmark for Data Valuation in Python (NeurIPS 2023)☆99Updated 7 months ago
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆32Updated 2 years ago