KurochkinAlexey / Recurrent-neural-processes
Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf
☆21Updated 5 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
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 2 years ago
- Discovering directional relations via minimum predictive information regularization☆23Updated 5 years ago
- ☆23Updated 3 years ago
- Robust bayesian online changepoint detection with model selection☆23Updated 6 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆92Updated last year
- Hierarchical Change-Point Detection☆14Updated 6 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆31Updated 3 years ago
- ☆29Updated 5 years ago
- A PyTorch implementation of a Deep Hidden Markov Model [Structured Inference Networks for Nonlinear State Space Models]☆56Updated 7 months ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆38Updated 2 years ago
- ☆29Updated last year
- State space modeling with recurrent neural networks☆43Updated 6 years ago
- (Under Review)☆67Updated 3 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆58Updated last year
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆26Updated 5 years ago
- Forecasting library in python☆13Updated 5 years ago
- ☆25Updated 4 years ago
- An encoder-decoder framework for learning from incomplete data☆46Updated last year
- Code for the ICML 2019 paper: Distribution Calibration for Regression☆21Updated last year
- Pytorch implementation of "Inferring Causal Dependencies between Chaotic Dynamical Systems from Sporadic Time Series"☆9Updated 4 years ago
- Recyclable Gaussian Processes☆11Updated 2 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- code for "Neural Jump Ordinary Differential Equations"☆29Updated 2 years ago
- Recurrent Neural Filters for Time Series Prediction☆24Updated 4 years ago
- ☆26Updated last year
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆18Updated 6 years ago
- Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)☆47Updated 3 years ago
- Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"☆13Updated 4 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago