sagelywizard / pytorch-mdn
Mixture Density Networks for PyTorch
☆219Updated 4 months ago
Alternatives and similar repositories for pytorch-mdn:
Users that are interested in pytorch-mdn are comparing it to the libraries listed below
- Mixture density network implemented in PyTorch.☆137Updated last year
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆281Updated 3 years ago
- Pytorch implementation of Neural Processes for functions and images☆228Updated 2 years ago
- Mixture Density Networks (MDN) implemented in PyTorch☆64Updated 4 years ago
- Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)☆155Updated last year
- A Pytorch Implementation of Attentive Neural Process☆72Updated 5 years ago
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆340Updated 7 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆164Updated 4 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆273Updated last year
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆230Updated 6 years ago
- PyTorch implementations of algorithms for density estimation☆577Updated 3 years ago
- Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)☆265Updated 6 years ago
- Implementation of Real NVP in PyTorch☆226Updated 5 years ago
- Code for image generation of Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Inf…☆141Updated 2 years ago
- Implementation of the Convolutional Conditional Neural Process☆121Updated 3 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆177Updated 3 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆104Updated 5 years ago
- PyTorch implementation of Neural Processes☆88Updated 5 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆286Updated 3 years ago
- An implementation of SoftDTW for PyTorch.☆218Updated 4 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆609Updated 3 years ago
- (FTML 2021) Official implementation of Dynamical VAEs☆218Updated last year
- PyTorch implementation of "Auto-Encoding Variational Bayes", arxiv:1312.6114☆53Updated 5 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 3 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆211Updated 7 months ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆91Updated 10 months ago
- Bayesian Neural Network in PyTorch☆83Updated 8 months ago
- ☆188Updated last year
- Simple, extendable, easy to understand Glow implementation in PyTorch☆379Updated 2 years ago