facebookresearch / InvariantRiskMinimization
PyTorch code to run synthetic experiments.
☆415Updated 3 years ago
Alternatives and similar repositories for InvariantRiskMinimization:
Users that are interested in InvariantRiskMinimization are comparing it to the libraries listed below
- Distributionally robust neural networks for group shifts☆254Updated 2 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆85Updated 4 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆419Updated 2 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆558Updated last year
- Disentanglement library for PyTorch☆277Updated 2 years ago
- Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.☆175Updated last year
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated 2 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆456Updated last year
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆327Updated last year
- ☆404Updated 3 years ago
- ☆64Updated 4 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆346Updated 2 years ago
- All about domain generalization☆833Updated last year
- Understanding Training Dynamics of Deep ReLU Networks☆284Updated last week
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆271Updated 2 years ago
- Public repo for Augmented Multiscale Deep InfoMax representation learning☆401Updated 4 years ago
- A PyTorch library for two-sample tests☆238Updated last year
- Approximating Wasserstein distances with PyTorch☆457Updated last year
- Simple, extendable, easy to understand Glow implementation in PyTorch☆378Updated 2 years ago
- Mutual Information Neural Estimation in Pytorch☆308Updated 4 months ago
- A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.☆335Updated 3 years ago
- Optimal Transport Dataset Distance☆159Updated 2 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆159Updated last year
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆74Updated 4 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆357Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆117Updated 3 years ago
- Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"☆805Updated 5 years ago
- Official Pytorch implementation of ReBias (Learning De-biased Representations with Biased Representations), ICML 2020☆173Updated 6 months ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆244Updated 5 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆617Updated 2 years ago