jamiehadd / ssnmfLinks
SSNMF models and multiplicative update methods.
☆11Updated 2 months ago
Alternatives and similar repositories for ssnmf
Users that are interested in ssnmf are comparing it to the libraries listed below
Sorting:
- Fast approximate inference for Poisson GLMs☆11Updated 6 years ago
- A python package for semi-structured deep distributional regression☆23Updated 2 years ago
- A community repository for benchmarking Bayesian methods☆12Updated 2 years ago
- ☆13Updated 5 years ago
- ☆10Updated 3 years ago
- GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices☆18Updated 4 years ago
- Online Matrix/Tensor Factorization and applications to Network Dictionary Learning and images☆15Updated 3 years ago
- Python package for Stein Thinning☆13Updated last year
- Official repo for Trumpets: Injective Flows for Inference and Inverse Problems☆13Updated 4 years ago
- ☆12Updated 4 years ago
- Code for the paper: Kernel Distributionally Robust Optimization☆13Updated 4 years ago
- Official code for Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells (NeurIPS workshop on Symmetry and Geo…☆11Updated 3 years ago
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Updated 4 years ago
- A framework for majority vote classifiers allowing for computation of PAC Bayesian risk bounds.☆14Updated 2 years ago
- Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data (Pytorch)☆19Updated 3 years ago
- Custom graph/network/multi-weighted network class based on storing list of neighbors for each nodes (as opposed to edge list) for scalabl…☆12Updated last year
- A Library for Minimax Risk Classifiers☆31Updated this week
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆12Updated 3 years ago
- Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamic…☆12Updated 5 years ago
- Enhanced Explainable Neural Network☆10Updated 3 years ago
- Experiments for "Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and Signals"☆21Updated 2 months ago
- ☆15Updated 3 years ago
- ☆25Updated last year
- Some python functions to supplement the NEURON python module☆29Updated 6 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- Github for the NIPS 2020 paper "Learning outside the black-box: at the pursuit of interpretable models"☆15Updated 3 years ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Updated 4 years ago
- csl: PyTorch-based Constrained Learning☆12Updated 3 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- ☆22Updated last year