tonyduan / matrix-completionLinks
Lightweight Python library for in-memory matrix completion.
☆108Updated 2 years ago
Alternatives and similar repositories for matrix-completion
Users that are interested in matrix-completion are comparing it to the libraries listed below
Sorting:
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆41Updated last year
- Coresets☆38Updated 3 years ago
- Detecting Statistical Interactions from Neural Network Weights☆49Updated 5 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆105Updated 4 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆95Updated 8 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆40Updated 4 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆25Updated last year
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆62Updated 4 years ago
- Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model☆103Updated last year
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'☆38Updated 7 years ago
- Python package for graph-based clustering and semi-supervised learning☆100Updated 4 months ago
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆58Updated 5 years ago
- Multi-task learning via Structural Regularization☆135Updated 4 years ago
- ☆43Updated 6 years ago
- learning point processes by means of optimal transport and wasserstein distance☆54Updated 7 years ago
- ☆92Updated 2 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- ☆40Updated 7 years ago
- Learning error bars for neural network predictions☆72Updated 6 years ago
- Deep neural network kernel for Gaussian process☆212Updated 5 years ago
- Code repository for Ensemble Bayesian Optimization☆57Updated 6 years ago
- Neural Graph Differential Equations (Neural GDEs)☆211Updated 4 years ago
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆145Updated 5 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆125Updated last month
- Lasso with ADMM in Python/MPI☆29Updated 9 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆207Updated 4 years ago
- Random Fourier Features☆50Updated 8 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆109Updated 3 years ago