Library for Auto-Encoding Sequential Monte Carlo
☆18Jan 29, 2024Updated 2 years ago
Alternatives and similar repositories for aesmc
Users that are interested in aesmc are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Original tensorflow implementation of SILOT (Spatially Invariant, Label-free Object Tracking).☆13Mar 24, 2023Updated 3 years ago
- SVGD implementation☆12Jul 23, 2018Updated 7 years ago
- PyTorch implementation of AVF☆45Sep 2, 2020Updated 5 years ago
- Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning☆10Dec 28, 2021Updated 4 years ago
- Uncertainty on Asynchronous Time Event Prediction (Spotlight, Neurips 2019)☆20Oct 8, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]☆23Mar 6, 2021Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆67Apr 29, 2019Updated 7 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Aug 10, 2021Updated 4 years ago
- LDS-toolbox: a matlab toolbox for linear dynamical systems (LDSs) modeling☆13Mar 23, 2018Updated 8 years ago
- Implementation of Sum-Product Attend-Infer-Repeat☆31May 21, 2020Updated 6 years ago
- ☆10May 13, 2025Updated last year
- ☆16Oct 1, 2018Updated 7 years ago
- Interface for deep reinforcement learning☆24Aug 6, 2021Updated 4 years ago
- Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics☆20Feb 3, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- PyTorch implementation of Stein Variational Gradient Descent☆49Jun 16, 2023Updated 3 years ago
- The implementation of "The Kanerva Machine" with Pytorch and Pyro☆12Jun 14, 2018Updated 8 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆11Mar 30, 2020Updated 6 years ago
- ☆10Aug 17, 2022Updated 3 years ago
- Stochastic state-space Inference and Prediction☆16Jun 29, 2026Updated last week
- ☆13Oct 26, 2019Updated 6 years ago
- ☆17Feb 21, 2020Updated 6 years ago
- ☆11Jan 16, 2020Updated 6 years ago
- Source code for the AAAI 2019 paper "On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters" (https://arx…☆18Feb 16, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆14Dec 1, 2019Updated 6 years ago
- Soft Sensor with Variational Inference Technique☆20Oct 15, 2024Updated last year
- Official PyTorch implementation of 'RELATE: Physically Plausible Multi-Object SceneSynthesis Using Structured Latent Spaces'.☆31Nov 6, 2020Updated 5 years ago
- ☆14Mar 6, 2022Updated 4 years ago
- Automatic Recall Machines: Internal Replay, Continual Learning and the Brain☆11Jul 14, 2020Updated 5 years ago
- Implementation of Nonparametric Hamiltonian Monte Carlo☆13Feb 13, 2023Updated 3 years ago
- Official PyTorch implementation of "SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition"☆105Oct 3, 2023Updated 2 years ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Dec 1, 2019Updated 6 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Sep 25, 2019Updated 6 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.
- Code for "Possibility Before Utility: Learning And Using Hierarchical Affordances" (ICLR 2022)☆14Mar 14, 2022Updated 4 years ago
- Multi-task feature learning☆15Jun 17, 2018Updated 8 years ago
- MABA stable PD controller☆17Oct 20, 2020Updated 5 years ago
- Unified framework for industrial monitoring tasks.☆20Dec 12, 2024Updated last year
- Official codebase for our NeurIPS paper, Symmetry-Informed Governing Equation Discovery.☆11Nov 13, 2024Updated last year
- PCIC 2021 Track1: Causal Discovery☆25Jun 23, 2021Updated 5 years ago
- Sequential Neural Likelihood☆42Sep 12, 2019Updated 6 years ago