amzn / sto-transformerLinks
☆24Updated last year
Alternatives and similar repositories for sto-transformer
Users that are interested in sto-transformer are comparing it to the libraries listed below
Sorting:
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Updated 4 years ago
- Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"☆153Updated last year
- Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)☆67Updated 2 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆74Updated 3 years ago
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆25Updated last year
- Deconfounding Reinforcement Learning in Observational Settings☆52Updated 6 years ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆89Updated 3 years ago
- ☆44Updated 3 years ago
- Distributionally robust neural networks for group shifts☆278Updated 2 years ago
- Repository for "Generative Flow Networks as Entropy-Regularized RL" (AISTATS-2024, Oral)☆35Updated last year
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆48Updated 4 years ago
- Model Predictive Task Sampling☆24Updated 3 weeks ago
- VAEs and nonlinear ICA: a unifying framework☆37Updated 5 years ago
- ☆32Updated last year
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆45Updated 4 years ago
- Implementation of paper "Probabilistic Active Meta-Learning" (NeurIPS 2020).☆20Updated 4 years ago
- A list of papers for group meeting☆17Updated last week
- Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization☆40Updated 5 years ago
- Pytorch implementation of neural processes and variants☆29Updated last year
- ☆63Updated 4 years ago
- Baselines for Model-Based Optimization☆53Updated 3 years ago
- Official Code for Local Search GFlowNets (ICLR 2024 Spotlight)☆21Updated 6 months ago
- Bayesian Attention Modules☆35Updated 4 years ago
- A modular, easy to extend GFlowNet library☆286Updated last week
- Code for "Generative causal explanations of black-box classifiers"☆35Updated 4 years ago
- QGFN: Controllable Greediness with Action Values - Code☆10Updated last year
- Official Implementation of the paper "Variational Causal Networks: Approximate Bayesian Inference over Causal Structures"☆17Updated 3 years ago
- Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)☆13Updated 3 years ago