tonyduan / mixture-density-networkLinks
Mixture density network implemented in PyTorch.
☆152Updated 2 years ago
Alternatives and similar repositories for mixture-density-network
Users that are interested in mixture-density-network are comparing it to the libraries listed below
Sorting:
- Mixture Density Networks for PyTorch☆222Updated last month
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆100Updated 9 months ago
- Implementation of the Convolutional Conditional Neural Process☆128Updated 4 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆227Updated last year
- Pytorch implementation of Neural Processes for functions and images☆236Updated 3 years ago
- Consistent Koopman Autoencoders☆75Updated 2 years ago
- (FTML 2021) Official implementation of Dynamical VAEs☆235Updated 2 years ago
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆120Updated 2 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆47Updated 5 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆99Updated 4 years ago
- Truncated Normal Distribution in PyTorch☆87Updated 2 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆92Updated 5 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆251Updated last year
- Mixture Density Networks (MDN) implemented in PyTorch☆65Updated 5 years ago
- ☆155Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆465Updated 4 months ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆58Updated last year
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆131Updated last year
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆90Updated 5 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆125Updated last month
- Experiments for Neural Flows paper☆100Updated 4 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 3 months ago
- A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
- This repository contains code released by DiffEqML Research☆92Updated 3 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆291Updated 4 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆281Updated 2 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Linear and non-linear spectral forecasting algorithms☆139Updated 4 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆242Updated 7 years ago