sltzgs / xai-regression
☆27Updated 2 months ago
Alternatives and similar repositories for xai-regression:
Users that are interested in xai-regression are comparing it to the libraries listed below
- Code for the paper "Density-based weighting for imbalanced regression". Contains an implementation for our imbalanced regression method a…☆32Updated 3 years ago
- Implementation of the InterpretTime framework☆44Updated 2 years ago
- Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning☆175Updated this week
- Python implementation of Monte Carlo Singular Spectrum Analysis for univariate time series.☆42Updated 2 years ago
- SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss☆25Updated 2 years ago
- Tensorflow 2.1 implementation of LRP for LSTMs☆38Updated 2 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago
- Unified Model Interpretability Library for Time Series☆59Updated last year
- Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods☆22Updated 3 years ago
- Repo related to our AAAI 2021 paper "A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales"☆30Updated 2 years ago
- A benchmark dataset for Machine Learning emulation of atmospheric radiative transfer in weather and climate models (NeurIPS 2021 Datasets…☆40Updated 2 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆136Updated 2 years ago
- A toy example of VAE-regression network☆72Updated 4 years ago
- XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification☆49Updated 2 years ago
- A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification☆106Updated 4 years ago
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆127Updated 3 years ago
- Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"☆19Updated 2 years ago
- ☆17Updated 10 months ago
- Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)☆20Updated last month
- Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling☆23Updated 5 years ago
- Benchmark time series data sets for PyTorch☆35Updated last year
- ☆8Updated last year
- Data access package for the SubseasonalClimateUSA dataset☆30Updated 5 months ago
- ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs☆91Updated last month
- A framework for composing Neural Processes in Python☆84Updated 4 months ago
- ☆12Updated 3 years ago
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆114Updated last year
- Contrastive Learning for Time Series☆38Updated 2 years ago
- Generate robust counterfactual explanations for machine learning models☆15Updated last year
- Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'☆47Updated 3 years ago