pietrobarbiero / constraint-learningLinks
Constraint-based Learning with Neural Networks
☆15Updated 4 years ago
Alternatives and similar repositories for constraint-learning
Users that are interested in constraint-learning are comparing it to the libraries listed below
Sorting:
- Dynamic causal Bayesian optimisation☆40Updated 2 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆51Updated 2 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆60Updated last year
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Updated 3 years ago
- ☆50Updated last year
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆104Updated 5 years ago
- Python package for graph-based clustering and semi-supervised learning☆100Updated 2 months ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆74Updated 4 years ago
- Code used for the AAAI 2020 paper "System Identification with Time-Aware Neural Sequence Models"☆17Updated 5 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 2 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- ☆15Updated 3 years ago
- Code for experiments in 'Primal Dual Formulation For Deep Learning With Constraints'☆23Updated 6 years ago
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆37Updated 2 years ago
- ☆87Updated 2 years ago
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.☆29Updated last year
- ☆32Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆80Updated 4 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆36Updated last year
- LaTeX style file for the Journal of Machine Learning Research☆156Updated last year
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- Variational inference for hierarchical dynamical systems☆48Updated last year
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Updated last year
- Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}☆72Updated 3 years ago
- Awesome list for Neural Network Optimization methods.☆83Updated 8 months ago
- An organized collection of Reservoir Computing models and techniques that is well-integrated within the PyTorch API.☆17Updated 2 years ago
- Accompanying code for our NeurIPS 2019 paper☆12Updated 5 years ago
- Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023☆22Updated 2 years ago