panagiotisanagnostou / HiPart
Hierarchical divisive clustering algorithm execution, visualization and Interactive visualization.
☆50Updated 3 months ago
Alternatives and similar repositories for HiPart:
Users that are interested in HiPart are comparing it to the libraries listed below
- Parametric and non-parametric conditional independence testing.☆10Updated 4 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Updated 2 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Updated 6 months ago
- Random feature latent variable models in Python☆22Updated last year
- Dynamic causal Bayesian optimisation☆36Updated 2 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings☆36Updated 4 months ago
- density-based clustering for exploratory data analysis based on multi-parameter persistence☆38Updated last month
- Neural Graphical models are neural network based graphical models that offer richer representation, faster inference & sampling☆28Updated last year
- PyTorch implementation of the paper "Neural Decomposition: Functional ANOVA with Variational Autoencoders"☆25Updated 4 years ago
- ☆17Updated 2 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆49Updated last year
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆22Updated 7 months ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆45Updated last year
- Python package for graph-based clustering and semi-supervised learning☆91Updated last month
- CO-Optimal Transport☆42Updated 4 years ago
- Official code repository to the corresponding paper.☆29Updated last year
- Decorators for maximizing memory utilization with PyTorch & CUDA☆16Updated last week
- ☆33Updated 2 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 3 years ago
- c-lasso: a Python package for constrained sparse regression and classification☆32Updated 3 years ago
- code for paper "Attributed Network Embedding via Subspace Discovery"☆21Updated 6 years ago
- Code to reproduce the case studies of the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan…☆15Updated 3 months ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Fast Laplacian Eigenmaps: lightweight multicore LE for non-linear dimensional reduction with minimal memory usage. Outperforms sklearn's …☆23Updated 3 years ago
- Critical difference diagrams with Python and Tikz☆32Updated 6 months ago
- Official Code for the paper: "Composite Feature Selection using Deep Ensembles"☆22Updated 2 years ago
- An approach for embedding hierarhical structures into a continuous vector space using variational autoencoders.☆25Updated last year
- Easy visualization and evaluation of matrix and tensor factorization models☆15Updated 2 years ago
- ☆12Updated 2 years ago
- Uses several statistical tests / algorithms on marginal / conditional distributions☆8Updated last year