KurochkinAlexey / Recurrent-neural-processesLinks
Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf
☆22Updated 6 years ago
Alternatives and similar repositories for Recurrent-neural-processes
Users that are interested in Recurrent-neural-processes are comparing it to the libraries listed below
Sorting:
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆118Updated 4 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆98Updated 6 months ago
- Code for "Deep Signature Transforms" (NeurIPS 2019)☆97Updated last year
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆38Updated 2 years ago
- ☆26Updated 5 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 2 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆60Updated 2 years ago
- code for "Neural Jump Ordinary Differential Equations"☆30Updated 2 years ago
- ☆29Updated 5 years ago
- Code for "Generalised Interpretable Shapelets for Irregular Time Series"☆57Updated 2 years ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆57Updated last year
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- Clean repo for tensor-train RNN implemented in TensorFlow☆69Updated 6 years ago
- Applications of Gaussian Process Latent Variable Models in Finance☆11Updated 3 years ago
- ☆23Updated 4 years ago
- A distributed method for fitting Laplacian regularized stratified models.☆25Updated 4 years ago
- An encoder-decoder framework for learning from incomplete data☆45Updated 2 years ago
- ☆15Updated 2 years ago
- Discovering directional relations via minimum predictive information regularization☆24Updated 5 years ago
- A simple implementation of the WaveNet model for time series forecasting☆26Updated 7 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Contrastive Learning for Time Series☆40Updated 2 years ago
- Robust bayesian online changepoint detection with model selection☆23Updated 6 years ago
- Multivariate recurrent GANs aimed at generating biomedical time-series. Methodology involves drawing symmetries to adversarial image gene…☆24Updated 3 months ago
- Forecasting library in python☆13Updated 6 years ago
- Code repository of the paper Learning Long-Term Dependencies in Irregularly-Sampled Time Series☆119Updated 2 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆76Updated 11 months ago
- ☆46Updated 2 years ago