locuslab / e2e-model-learningLinks
Task-based end-to-end model learning in stochastic optimization
☆208Updated 4 years ago
Alternatives and similar repositories for e2e-model-learning
Users that are interested in e2e-model-learning are comparing it to the libraries listed below
Sorting:
- Input Convex Neural Networks☆297Updated 6 years ago
- in progress☆108Updated 8 years ago
- ☆69Updated 7 years ago
- Reinforcement learning for energy systems☆180Updated 3 months ago
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- Combining deep learning and reinforcement learning.☆80Updated 3 years ago
- Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al☆218Updated 6 years ago
- Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"☆39Updated 7 years ago
- A branch-and-bound ILP solver☆26Updated 6 years ago
- Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"☆34Updated 4 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 8 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 8 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆141Updated 9 years ago
- ☆67Updated 7 years ago
- Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018☆80Updated 6 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Updated 10 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- What My Deep Model Doesn't Know...☆116Updated 9 years ago
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 12 years ago
- ☆65Updated 5 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 8 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆40Updated 7 years ago
- Python implementation of the PR-SSM.☆51Updated 7 years ago
- A series of tutorials for conducting computational experiments with optimization solvers☆89Updated last year
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- OptNet: Differentiable Optimization as a Layer in Neural Networks☆545Updated 5 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆35Updated 8 years ago