code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"
☆26Dec 10, 2022Updated 3 years ago
Alternatives and similar repositories for semi-discrete-flow
Users that are interested in semi-discrete-flow are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- code for "Neural Conservation Laws A Divergence-Free Perspective".☆45Dec 11, 2022Updated 3 years ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Nov 19, 2022Updated 3 years ago
- An implementation of EinsumNetworks in PyTorch.☆23Jan 26, 2026Updated 4 months ago
- An experimental implementation of sum-product networks with dense unitary transformations in leaves☆13Sep 8, 2022Updated 3 years ago
- ☆18Jul 24, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 4 years ago
- Riemannian Convex Potential Maps☆67Mar 31, 2023Updated 3 years ago
- Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories☆42Jul 16, 2023Updated 2 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Feb 15, 2021Updated 5 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 years ago
- Experiments for the NeurIPS 2021 paper "Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks"☆13Oct 25, 2021Updated 4 years ago
- Machine learning applied to interpolate sea-surface height observations from altimetry tracks.☆11Apr 3, 2023Updated 3 years ago
- Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"☆15Dec 7, 2020Updated 5 years ago
- Geometric Certifications of Neural Nets☆42Nov 22, 2022Updated 3 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.
- Discrete Normalizing Flows implemented in PyTorch☆115Oct 4, 2021Updated 4 years ago
- Official pytorch implementation for our ICLR 2023 paper "Latent State Marginalization as a Low-cost Approach for Improving Exploration".☆24Feb 9, 2023Updated 3 years ago
- Official PyTorch implementation of NeurIPS 2022 paper "Invertible Monotone Operators for Normalizing Flows"☆15Nov 28, 2022Updated 3 years ago
- Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]☆15Feb 24, 2021Updated 5 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Mar 30, 2021Updated 5 years ago
- ☆22Dec 3, 2021Updated 4 years ago
- ☆38Mar 29, 2025Updated last year
- A Python Library for Deep Probabilistic Modeling☆63Oct 25, 2024Updated last year
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆55Dec 8, 2022Updated 3 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.
- a python framework to build, learn and reason about probabilistic circuits and tensor networks☆142Updated this week
- Cayley Dickson algebra implementation in python☆12Jan 3, 2019Updated 7 years ago
- ☆53Feb 27, 2023Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Aug 4, 2023Updated 2 years ago
- Lipschitz Recurrent Neural Networks☆30Jun 28, 2021Updated 4 years ago
- Official Pytorch implementation of "Neural Optimal Transport with General Cost Functionals" (ICLR 2024)☆24Aug 29, 2024Updated last year
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Dec 9, 2020Updated 5 years ago
- The Limited Multi-Label Projection Layer☆59Jul 25, 2024Updated last year
- ☆18Apr 22, 2020Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆20Jan 11, 2023Updated 3 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Oct 12, 2024Updated last year
- We got a stew going!☆27Oct 3, 2023Updated 2 years ago
- Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domain…☆107Dec 28, 2021Updated 4 years ago
- Detection of the structural, evolutionary and functional relationship between different proteins and protein families requires comparativ…☆15Sep 22, 2023Updated 2 years ago
- Code for reproducing Flow ++ experiments☆191Apr 27, 2019Updated 7 years ago
- Open Data Science☆33Dec 10, 2024Updated last year