takuyaisomura / predpca
Predictive principal component analysis (PredPCA)
☆19Updated 3 years ago
Alternatives and similar repositories for predpca:
Users that are interested in predpca are comparing it to the libraries listed below
- Contains legacy code and model examples for the paper "BayesFlow: Learning complex stochastic models with invertible neural networks"☆22Updated 4 years ago
- ☆27Updated 6 years ago
- ☆19Updated last month
- General framework for Bayesian inversion of continuous hierarchical models☆10Updated 3 years ago
- Multi-task regression in Python☆25Updated 4 years ago
- Bayesian Dynamic Mode Decomposition (Bayesian DMD)☆18Updated 3 years ago
- The framework for inferring Langevin dynamics from spike data☆30Updated last month
- ☆19Updated 4 years ago
- A package to study complex networks based on the temporal evolution of their Dynamic Communicability and Flow.☆10Updated 8 months ago
- resources related to papers☆13Updated 8 months ago
- An implementation of a differentiable point process and a differentiable spiking neural network.☆20Updated 3 years ago
- Code associated with the paper 'Higher-order structure of multivariate time series' (https://www.nature.com/articles/s41567-022-01852-0)☆41Updated 5 months ago
- Neural Optimal Feedback Control☆11Updated 3 years ago
- A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis an…☆22Updated 5 months ago
- ☆14Updated last year
- Estimating Noise Correlations in Neural Populations with Wishart Processes☆8Updated 10 months ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 4 years ago
- Scalable python GPU solvers for fused unbalanced gromov-wasserstein optimal transport problems, with routines and examples to align brain…☆40Updated this week
- Pytorch implementation of "Inferring Causal Dependencies between Chaotic Dynamical Systems from Sporadic Time Series"☆9Updated 4 years ago
- Time-varying Autoregression with Low Rank Tensors☆15Updated 3 years ago
- D-CODE: Discovering Closed-form ODEs from Observed Trajectories☆15Updated 3 years ago
- sliced: scikit-learn compatible sufficient dimension reduction☆22Updated 8 months ago
- Canonical Correlation Forests☆20Updated 6 years ago
- Foundational library for Kernel methods in pattern analysis and machine learning☆41Updated 2 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆43Updated 3 years ago
- An sklearn style implementation of the Relevance Vector Machine (RVM).☆24Updated 5 years ago
- Hopefully, a compact and general-purpose Python package for Multiperturbation Shapley value Analysis (MSA).☆18Updated 9 months ago
- Deep universal probabilistic programming with Python and PyTorch☆11Updated 4 years ago
- PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization…☆20Updated last year
- Official implementation of Joint Multidimensional Scaling☆22Updated last year