🤖🤖 Attentive Mixtures of Experts (AMEs) are neural network models that learn to output both accurate predictions and estimates of feature importance for individual samples.
☆42Mar 24, 2023Updated 3 years ago
Alternatives and similar repositories for ame
Users that are interested in ame are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆12Oct 25, 2018Updated 7 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆15Dec 30, 2022Updated 3 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆132Aug 22, 2020Updated 5 years ago
- Explanation Optimization☆13Oct 16, 2020Updated 5 years ago
- PyTorch implementation for Neural Additive Models☆25Dec 2, 2020Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆50Oct 26, 2019Updated 6 years ago
- An Empirical Study of Invariant Risk Minimization☆27Jul 6, 2020Updated 5 years ago
- ☆13Apr 23, 2019Updated 7 years ago
- MuJoCo models for Unitree Robots☆12Nov 24, 2021Updated 4 years ago
- Model Primitive Hierarchical Reinforcement Learning☆13Dec 8, 2022Updated 3 years ago
- ☆13Sep 5, 2023Updated 2 years ago
- Representation Learning with Deconvolutional Networks for Multivariate Time Series☆12Jul 11, 2016Updated 9 years ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Mar 14, 2022Updated 4 years ago
- Accompanying repository for Unsupervised Active Domain Randomization in Goal-Directed RL☆12Aug 4, 2020Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- python code for kernel methods☆42Dec 13, 2018Updated 7 years ago
- The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019☆14Apr 4, 2020Updated 6 years ago
- Code repository for the AAAI 2022 paper "Do Feature Attribution Methods Correctly Attribute Features?"☆21Apr 30, 2022Updated 4 years ago
- Implementation of MAML in numpy, deriving gradients and implementing backprop manually☆14Nov 15, 2018Updated 7 years ago
- Repository linked to "Anomaly detection in Smart-manufacturing era: A review"☆20Aug 20, 2023Updated 2 years ago
- State space modeling with recurrent neural networks☆45Mar 30, 2018Updated 8 years ago
- Implementation of Feature Saliency Hidden Markov Model (Adams, et al, 2016)☆13Dec 8, 2022Updated 3 years ago
- Python and MATLAB code for Stein Variational sampling methods☆28May 25, 2019Updated 7 years ago
- Matplotlib Backend for Altair Visualization Library☆16Dec 2, 2020Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code for paper: NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge☆28Feb 21, 2023Updated 3 years ago
- A Python module for mapping multiple high-dimensional datasets into a common low-dimensional space.☆10Mar 29, 2018Updated 8 years ago
- Keras implementation of the Information Dropout (arXiv:1611.01353) paper☆15Dec 31, 2016Updated 9 years ago
- ☆37Oct 3, 2023Updated 2 years ago
- ☆99Mar 5, 2023Updated 3 years ago
- Deep Large-Scale Inference UsingKnockoffs☆11Nov 4, 2021Updated 4 years ago
- The code of AAAI 2020 paper "Transparent Classification with Multilayer Logical Perceptrons and Random Binarization".☆23Mar 10, 2024Updated 2 years ago
- Multi-variable LSTM recurrent neural networks for prediction and interpretation of multi-variable time series☆49Jun 18, 2021Updated 5 years ago
- Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images☆11Jan 11, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- This is the code for siggrapha paper "An Implicit Neural Representation for the Image Stack: Depth, All in Focus, and High Dynamic Range"☆15Nov 21, 2024Updated last year
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆16Jul 9, 2018Updated 7 years ago
- Crowdsourced data for open domain relation classification from sentences☆20Oct 26, 2018Updated 7 years ago
- Clockwork VAEs in JAX/Flax☆32Jul 16, 2021Updated 4 years ago
- Workflow using git☆48Feb 18, 2026Updated 4 months ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆61Aug 14, 2024Updated last year
- A Decomposition-based Canonical Correlation Analysis for High-dimensional Datasets (JASA-20 paper)☆11Aug 10, 2022Updated 3 years ago