IMPSy - the Interactive Musical Prediction SYstem
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Updated
Aug 16, 2024 - Python
IMPSy - the Interactive Musical Prediction SYstem
A simple module for Mixture Density Networks in Pytorch
Rapid characterization of exoplanet interiors with Mixture Density Networks
Mixture Density Networks in pytorch
Modeling of Time-varying Wireless Communication Channel with Fading and Shadowing
conditional density estimation with neural networks
An Embodied Musical Predictive Interface using Mixture Density Networks
Handwriting generation and handwriting synthesis as described in Alex Graves's paper https://arxiv.org/abs/1308.0850. Pytorch implementation.
To reproduce the results of the paper: Data-Driven Latency Probability Prediction for Wireless Networks: Focusing on Tail Probabilities
A simple interface for defining, training, and deploying MDNs.
Mixture density network implemented in PyTorch.
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design
Trained models for the paper "Machine-learning inference of interior structures of low-mass exoplanets" (Baumeister et al. 2020)
Framework for learning effective reduced order dynamics of molecular systems.
(WIP) Implementation of a network for Handwriting Synthesis based on the work of Generating Sequences With Recurrent Neural Networks by Alex Graves (https://arxiv.org/abs/1308.0850)
Adversarial Mixture Density Networks for autonomous driving
Simple Mixture Density Model implementation in Pytorch
World Models Experiments for Duckietown
Use of Deep Mixture Density Networks to predict Muon Hit positions from Photon propagation time in scintillator bars in Muon Telescopes
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design
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