Mixture Density Networks (MDN) implemented in PyTorch
☆66May 31, 2020Updated 5 years ago
Alternatives and similar repositories for pytorch-mdn
Users that are interested in pytorch-mdn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An exploration of mixture density networks☆36Nov 20, 2017Updated 8 years ago
- Mixture Density Networks for PyTorch☆224Dec 9, 2025Updated 4 months ago
- Mixture Density Network Demo in Pytorch☆14Sep 17, 2018Updated 7 years ago
- ☆13Aug 23, 2024Updated last year
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆357Jun 30, 2017Updated 8 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.
- Mixture density network implemented in PyTorch.☆153May 18, 2023Updated 2 years ago
- An MDN Layer for Keras using TensorFlow's distributions module☆170Mar 30, 2026Updated 2 weeks ago
- Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch☆677Jul 19, 2022Updated 3 years ago
- Perform bayesian distribution regression☆13Mar 19, 2018Updated 8 years ago
- Solving reinforcement learning tasks which require language and vision☆33Apr 4, 2023Updated 3 years ago
- CoCon: Cooperative Contrastive Learning☆20Nov 5, 2022Updated 3 years ago
- A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch☆305May 31, 2020Updated 5 years ago
- Generative models and other stuff too, maybe, perhaps even probably☆16Dec 12, 2015Updated 10 years ago
- Jax implementation of VIT-VQGAN☆10Jan 25, 2024Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Python and torch-based package implementing various parametric and nonparametric methods for conditional density estimation☆199Dec 27, 2025Updated 3 months ago
- Official code for Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells (NeurIPS workshop on Symmetry and Geo…☆12Nov 1, 2022Updated 3 years ago
- Contains implementation of the DoubIL and ResiduIL algorithms from the ICML '22 paper Causal Imitation Learning under Temporally Correlat…☆11Dec 9, 2022Updated 3 years ago
- PyTorch implementation of the Marginalizable Density Model Approximator☆18Oct 11, 2021Updated 4 years ago
- Recurrent Array for Driver Intention Prediciton (RADIP) Code to accompany paper: Naturalistic Driver Intention and Path Prediction usin…☆27Jul 27, 2018Updated 7 years ago
- A Mixture Density RNN for generating musical touchscreen interactions.☆14Mar 25, 2023Updated 3 years ago
- Solutions to OpenAI Gym☆15Aug 22, 2021Updated 4 years ago
- Numpy compatible polynomial representation☆13Jan 2, 2026Updated 3 months ago
- World Models applied to the Open AI Sonic Retro Contest☆78Jun 30, 2018Updated 7 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.
- ☆10Apr 13, 2023Updated 3 years ago
- Implementation of the paper "Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models"☆24Sep 7, 2018Updated 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Jan 12, 2019Updated 7 years ago
- Information Bottleneck in DNN with PyTorch☆15Jul 6, 2023Updated 2 years ago
- DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)☆520Sep 15, 2019Updated 6 years ago
- RP-GAN: Stable GAN Training with Random Projections☆22Jun 27, 2018Updated 7 years ago
- Design of experiments for model discrimination using Gaussian process surrogate models☆36Mar 15, 2019Updated 7 years ago
- ☆12Apr 16, 2018Updated 8 years ago
- Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982☆22Dec 10, 2020Updated 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.
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 6 years ago
- MuJoCo models for Unitree Robots☆12Nov 24, 2021Updated 4 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Jan 27, 2022Updated 4 years ago
- SEIKO is a novel reinforcement learning method to efficiently fine-tune diffusion models in an online setting. Our methods outperform all…☆30Jul 18, 2024Updated last year
- This repository contains the VLEngagement dataset and the helper functions/ tools required to work with the dataset.☆16Dec 3, 2021Updated 4 years ago
- Released code for ICDM 2016 Budgeted Batch Bayesian Optimization☆10Feb 11, 2019Updated 7 years ago
- Code to reproduce Neural Game Engine experiments and pre-trained models☆41Jun 22, 2022Updated 3 years ago