Dirichlet-Variational Auto-Encoder by PyTorch
☆24Oct 8, 2025Updated 7 months ago
Alternatives and similar repositories for Dirichlet-VAE
Users that are interested in Dirichlet-VAE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- implementation of different Dirichlet Variational Autoencoder Topic Models in Tensorflow☆49Feb 20, 2023Updated 3 years ago
- a python implementation of latent dirichlet allocation(lda) using variational EM algorithm☆29Jul 11, 2016Updated 9 years ago
- [CVPR 2020] A generative model with latent factors that are independent and localized.☆12Mar 27, 2025Updated last year
- ☆19Feb 11, 2022Updated 4 years ago
- Official implementation of our ICML 2024 paper "UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework…☆35May 12, 2025Updated 11 months 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.
- An awesome list of papers on remaining useful life (RUL) prediction from arXiv☆21Jun 12, 2025Updated 10 months ago
- Code for 'Inference Suboptimality in Variational Autoencoders'☆10May 22, 2020Updated 5 years ago
- ☆11Oct 11, 2023Updated 2 years ago
- Implementation of: Kristiadi, Agustinus, and Asja Fischer. "Predictive Uncertainty Quantification with Compound Density Networks." (2019)…☆16May 26, 2022Updated 3 years ago
- Source code for WWW 2019 paper "Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification"☆14May 3, 2019Updated 7 years ago
- A package to study complex networks based on the temporal evolution of their Dynamic Communicability and Flow.☆11Jan 30, 2026Updated 3 months ago
- ☆10Aug 22, 2025Updated 8 months ago
- This repository compares the performance of 8 different regression loss functions used in Time Series Forecasting using Temporal Fusion…☆25Feb 21, 2025Updated last year
- Recursive Bayesian Networks☆11May 11, 2025Updated 11 months 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.
- An experiment to see if chatgpt can improve the output of the stanford alpaca dataset☆12Mar 29, 2023Updated 3 years ago
- Basic implementation of variational autoencoders in Torch☆10Apr 16, 2016Updated 10 years ago
- Source code of the AAAI-2020 paper "Topic Modeling on Document Networks with Adjacent-Encoder"☆10Jul 14, 2020Updated 5 years ago
- Benchmark Python and Cython code☆13Jun 13, 2014Updated 11 years ago
- Generating Counterfactual Explanation Images through Generative Adversarial Learning☆12Jul 1, 2021Updated 4 years ago
- Python code to train neural network models with your original dataset for semantic segmentation. This codeset also includes a converter t…☆13Nov 24, 2020Updated 5 years ago
- ☆10Apr 2, 2018Updated 8 years ago
- NeurIPS 2020 Spotlight Paper☆13Dec 20, 2021Updated 4 years ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆28Oct 26, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"☆13Apr 4, 2021Updated 5 years ago
- The official PyTorch code for AAAI'23 Paper "Sparse Coding in a Dual Memory System for Lifelong Learning"☆12Feb 15, 2023Updated 3 years ago
- PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity☆13Nov 17, 2021Updated 4 years ago
- ☆10Jan 13, 2022Updated 4 years ago
- [SIGMOD 2022] Python code for "Dimension-wise Class Activation Map for Multivariate Time Series Classification"☆19Oct 8, 2025Updated 7 months ago
- PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…☆14Jan 4, 2023Updated 3 years ago
- Hierarchical Mixture of Experts,Mixture Density Neural Network☆45Mar 31, 2017Updated 9 years ago
- Neural Algorithmic Reasoning Tutorial☆11Dec 21, 2022Updated 3 years ago
- ☆10Oct 28, 2020Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- A python package for predicting group-level fMRI responses to visual stimuli using deep neural networks☆13Mar 31, 2025Updated last year
- ☆12Jun 22, 2024Updated last year
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆55Dec 8, 2022Updated 3 years ago
- Variational Reinforcement Learning☆17Jul 25, 2024Updated last year
- Code for CH-HNN☆27Jan 22, 2026Updated 3 months ago
- A simple and easy to use implementation of the soft actor-critic algorithm.☆15Sep 2, 2022Updated 3 years ago
- An implementation of the Hopfield Network using PyTorch, leveraging CUDA for linear algebra speedup☆15Nov 19, 2025Updated 5 months ago