Kalman Variational Auto-Encoder
☆141Feb 12, 2019Updated 7 years ago
Alternatives and similar repositories for kvae
Users that are interested in kvae are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Structured Inference Networks for Nonlinear State Space Models☆275Aug 29, 2017Updated 8 years ago
- Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"☆32Jul 20, 2022Updated 3 years ago
- Implementation of Deep Variational Bayes Filter☆13Aug 9, 2019Updated 6 years ago
- Deep Markov Models☆132Apr 28, 2019Updated 6 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Nov 3, 2016Updated 9 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images☆64May 27, 2016Updated 9 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Dec 2, 2018Updated 7 years ago
- Tree-structured recurrent switching linear dynamical systems☆39Jul 13, 2020Updated 5 years ago
- ☆68Sep 8, 2021Updated 4 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆105Jan 24, 2019Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Apr 19, 2016Updated 9 years ago
- Implementation of iterative inference in deep latent variable models☆44Aug 21, 2019Updated 6 years ago
- ☆21Jan 3, 2019Updated 7 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆292Dec 13, 2021Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- E2C implementation in PyTorch☆43Jul 5, 2017Updated 8 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Mar 17, 2020Updated 6 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆87Jul 19, 2020Updated 5 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Aug 2, 2024Updated last year
- Code for the Thermodynamic Variational Objective☆26Jun 21, 2022Updated 3 years ago
- Variational Reinforcement Learning☆17Jul 25, 2024Updated last year
- Variational Walkback, NIPS'17☆28Oct 18, 2017Updated 8 years ago
- A Compositional Object-Based Approach to Learning Physical Dynamics☆174Mar 7, 2017Updated 9 years ago
- ☆17Oct 25, 2016Updated 9 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- State space modeling with recurrent neural networks☆45Mar 30, 2018Updated 8 years ago
- A production quality data pipeline for DICOM images segmentation.☆12Feb 4, 2018Updated 8 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Dec 9, 2020Updated 5 years ago
- Dataset to assess the disentanglement properties of unsupervised learning methods☆533Jan 3, 2021Updated 5 years ago
- ☆14Oct 29, 2018Updated 7 years ago
- Collapsed Variational Bayes☆72Sep 27, 2019Updated 6 years ago
- Open access book on variational Bayesian methods written collaboratively☆28Apr 16, 2015Updated 10 years ago
- ☆16Sep 26, 2017Updated 8 years ago
- Implementation codes of deep generative models with Pixyz☆107Jan 10, 2023Updated 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.
- ☆12Jul 16, 2023Updated 2 years ago
- ☆21Dec 8, 2022Updated 3 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆710Mar 2, 2020Updated 6 years ago
- GPS codebase for NASA Superball tensegrity robot☆17Jan 12, 2017Updated 9 years ago
- Code for the "Neural Expectation Maximization" paper.☆126Nov 22, 2022Updated 3 years ago
- Reweighted Expectation Maximization☆29Jun 14, 2019Updated 6 years ago
- Simple Summary of CNN Architecture☆34Aug 28, 2018Updated 7 years ago