Explain3D / LIME-3DLinks
☆17Updated 4 years ago
Alternatives and similar repositories for LIME-3D
Users that are interested in LIME-3D are comparing it to the libraries listed below
Sorting:
- Experiment for General E(2)-Equivariant Steerable CNNs☆30Updated 4 years ago
- ☆13Updated 5 years ago
- Uncertainty Aware Semi-Supervised Learning on Graph Data☆40Updated 4 years ago
- curvature calculation of point cloud using python☆25Updated 5 years ago
- Deep Declarative Networks☆251Updated 3 months ago
- New distributional and shape attacks on neural networks that process 3D point cloud data.☆43Updated 2 years ago
- List of state of the art papers, code, and other resources☆113Updated 3 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆52Updated 5 years ago
- Python notebooks for Optimal Transport between Gaussian Mixture Models☆47Updated 4 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆87Updated 2 years ago
- [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning☆31Updated 2 years ago
- Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data☆27Updated 4 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆147Updated 2 years ago
- Experiments from our work Uncertainty Quantification and Deep Ensemble☆10Updated 4 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Updated 3 years ago
- This repository contains an official implementation of LPBNN.☆38Updated 2 years ago
- PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)☆33Updated 3 years ago
- A set of functions for well-known Cumulative Distribution Function (CDF)-based distance measure☆15Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Updated 3 years ago
- The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022☆66Updated 3 years ago
- This is a Python library that implements a Multi-objective Symbolic Regression algorithm. It can be used as a Machine Learning algorithm …☆21Updated last year
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Self-Supervised Learning for Domain Adaptation on Point-Clouds☆90Updated 3 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆45Updated 5 years ago
- ☆28Updated 6 years ago
- Experiments on unsupervised point cloud reconstruction.☆172Updated 3 years ago
- Official Implementation of the paper: "A Rate-Distorion View of Uncertainty Quantification", ICML 2024☆28Updated last year
- MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]☆34Updated last year
- Tensorflow Implementation of "LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks", …☆22Updated 4 years ago
- STEEX: Steering Counterfactual Explanations with Semantics☆21Updated 2 years ago