Mixture Density Networks (MDN) implemented in PyTorch
☆66May 31, 2020Updated 6 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☆225Dec 9, 2025Updated 8 months ago
- ☆13Aug 23, 2024Updated last year
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆363Jun 30, 2017Updated 9 years ago
- Mixture density network implemented in PyTorch.☆154May 18, 2023Updated 3 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.
- tutorial notebooks☆393Apr 5, 2018Updated 8 years ago
- Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch☆706Jul 19, 2022Updated 4 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆61Apr 29, 2020Updated 6 years ago
- Nearest Neighbor Kernel Conditional Density Estimation☆12May 9, 2020Updated 6 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☆303May 31, 2020Updated 6 years ago
- State space modeling with recurrent neural networks☆45Mar 30, 2018Updated 8 years ago
- Repository for the Evaluation of ffmpeg Video Codecs on Quality Metrics - MS-SSIM, PSNR, and VMAF. Currently supports H264. H.265, VP9 an…☆12Apr 8, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Neural networks for conditional density estimation☆15May 9, 2020Updated 6 years ago
- Python and torch-based package implementing various parametric and nonparametric methods for conditional density estimation☆202Dec 27, 2025Updated 7 months ago
- Jax implementation of VIT-VQGAN☆10Jan 25, 2024Updated 2 years ago
- Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection☆13Nov 6, 2020Updated 5 years ago
- Official code for Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells (NeurIPS workshop on Symmetry and Geo…☆13Nov 1, 2022Updated 3 years ago
- PyTorch implementation of the Marginalizable Density Model Approximator☆18Oct 11, 2021Updated 4 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
- Python Robot Simulator☆22Jan 30, 2019Updated 7 years ago
- Recurrent Array for Driver Intention Prediciton (RADIP) Code to accompany paper: Naturalistic Driver Intention and Path Prediction usin…☆28Jul 27, 2018Updated 8 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- PPO Dash: Improving Generalization in Deep Reinforcement Learning☆16Jul 17, 2019Updated 7 years ago
- World Models applied to the Open AI Sonic Retro Contest☆78Jun 30, 2018Updated 8 years ago
- Solutions to OpenAI Gym☆16Aug 22, 2021Updated 4 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".☆61Jan 12, 2019Updated 7 years ago
- Design of experiments for model discrimination using Gaussian process surrogate models☆37Mar 15, 2019Updated 7 years ago
- Random Forests for Conditional Density Estimation☆44Jun 10, 2021Updated 5 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
- A pytorch version of hamiltonian monte carlo☆15Jun 26, 2019Updated 7 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Exploring retweets by Twitter bot-nets.☆11Aug 30, 2017Updated 8 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- MuJoCo models for Unitree Robots☆12Nov 24, 2021Updated 4 years ago
- This was a university group project supported by the HSBC Artificial Intelligence team. It involved applying machine learning algorithms …☆15Nov 13, 2023Updated 2 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Jan 27, 2022Updated 4 years ago
- Variational Dirichlet Process Gaussian Mixture Models☆29Feb 2, 2015Updated 11 years ago
- Code for the paper Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video☆41May 22, 2023Updated 3 years ago