Pytorch implementation of VAEs for heterogeneous likelihoods.
☆43Nov 13, 2022Updated 3 years ago
Alternatives and similar repositories for heterogeneous_vaes
Users that are interested in heterogeneous_vaes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆25Jul 20, 2022Updated 3 years ago
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Oct 26, 2021Updated 4 years ago
- Code for the paper "Unlocking Slot Attention by Changing Optimal Transport Costs"☆13Sep 19, 2023Updated 2 years ago
- ☆15Jan 15, 2019Updated 7 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Jun 7, 2020Updated 5 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.
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆17Oct 12, 2022Updated 3 years ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆21Feb 25, 2023Updated 3 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23May 3, 2018Updated 7 years ago
- ☆52Aug 22, 2023Updated 2 years ago
- Random feature latent variable models in Python☆23Jul 23, 2023Updated 2 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆22Jun 15, 2021Updated 4 years ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆20Jul 15, 2019Updated 6 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92May 14, 2024Updated last year
- Pyro models and misc examples.☆19May 10, 2021Updated 4 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 version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Apr 16, 2020Updated 5 years ago
- Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf☆21Aug 6, 2019Updated 6 years ago
- ☆93Mar 24, 2023Updated 3 years ago
- Spectral Attention Autoregressive Model (SAAM)☆16Oct 27, 2022Updated 3 years ago
- Placeholder repository☆15Mar 16, 2022Updated 4 years ago
- Code accompanying the notMIWAE paper☆17Jan 28, 2021Updated 5 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Jan 3, 2023Updated 3 years ago
- Python implementation of the img2net algorithm.☆10Jan 7, 2026Updated 3 months ago
- Some quick exploration of how k-means auto-encoders work☆10May 11, 2017Updated 8 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Generative Forests in Python☆35Jul 6, 2023Updated 2 years ago
- Tensorflow implementation for the SVGP-VAE model.☆22Jul 19, 2021Updated 4 years ago
- ☆13Aug 6, 2022Updated 3 years ago
- [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…☆26Dec 30, 2021Updated 4 years ago
- Ukrainian ELECTRA model☆12Mar 11, 2023Updated 3 years ago
- 中文分词 Mac版☆10Jul 5, 2017Updated 8 years ago
- Code for "DeepPolar codes", ICML 2024☆12May 7, 2024Updated last year
- Very Simple and Basic Implementation of Compositional Pattern Producing Network in TensorFlow☆11Nov 27, 2019Updated 6 years ago
- Utility for cui2vec in Go☆13Feb 25, 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.
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Oct 12, 2024Updated last year
- Sum-product networks in Julia.☆37Dec 13, 2022Updated 3 years ago
- Corresponding code for experiments described in "Predicting Clinical Outcomes Across Changing Electronic Health Records." Presented at KD…☆11Sep 8, 2017Updated 8 years ago
- Code for the paper Data-to-Text Generation with Iterative Text Editing☆14Mar 23, 2021Updated 5 years ago
- Scalable GP Adapter for Time Series Classification☆13Aug 29, 2017Updated 8 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆24Dec 6, 2022Updated 3 years ago
- Files related to an insight data science project focused on predicting death in atherosclerosis patients from the MIMICIII database.☆11Mar 20, 2018Updated 8 years ago