tonyduan / mixture-density-networkLinks
Mixture density network implemented in PyTorch.
☆145Updated 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☆220Updated 4 months ago
- Mixture Density Networks (MDN) implemented in PyTorch☆66Updated 5 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆94Updated 2 months ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆285Updated 3 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆165Updated 4 years ago
- Implementation of the Convolutional Conditional Neural Process☆123Updated 4 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆219Updated 11 months ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆279Updated last year
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆57Updated 10 months ago
- Pytorch implementation of Neural Processes for functions and images☆230Updated 3 years ago
- Consistent Koopman Autoencoders☆74Updated 2 years ago
- Bayesian Neural Network in PyTorch☆87Updated last year
- ☆153Updated 2 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆128Updated 9 months ago
- Official implementation of Transformer Neural Processes☆76Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆197Updated 2 years ago
- An implementation of SoftDTW for PyTorch.☆222Updated 5 years ago
- Experiments for Neural Flows paper☆95Updated 3 years ago
- Masked Autoregressive Flow☆213Updated 10 months ago
- (FTML 2021) Official implementation of Dynamical VAEs☆229Updated 2 years ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆92Updated 3 years ago
- Learning error bars for neural network predictions☆70Updated 5 years ago
- Code for Neural Spline Flows paper☆271Updated 4 years ago
- PyTorch implementation of the Masked Autoregressive Flow☆27Updated 4 years ago
- A Pytorch Implementation of Attentive Neural Process☆74Updated 6 years ago
- Kalman Variational Auto-Encoder☆136Updated 6 years ago
- Truncated Normal Distribution in PyTorch☆84Updated last year