nalexai / hyperlibLinks
Library that contains implementations of machine learning components in the hyperbolic space
☆142Updated last year
Alternatives and similar repositories for hyperlib
Users that are interested in hyperlib are comparing it to the libraries listed below
Sorting:
- Differentiable Sorting Networks☆117Updated 2 years ago
- Graph Data Augmentation Library for PyTorch Geometric☆132Updated 3 years ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆258Updated last year
- ☆35Updated 10 months ago
- Hyperbolic PCA via Horospherical Projections☆73Updated 2 years ago
- (Personalized) Page-Rank computation using PyTorch☆92Updated 2 years ago
- Functional deep learning☆108Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- Differentiable Algorithms and Algorithmic Supervision.☆116Updated 2 years ago
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆140Updated 5 years ago
- ☆139Updated last year
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆53Updated last year
- ☆100Updated 3 years ago
- A centralized place for deep thinking code and experiments☆86Updated 2 years ago
- A Python package for intrinsic dimension estimation☆93Updated 3 weeks ago
- Convert scikit-learn models to PyTorch modules☆167Updated last year
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Hyperbolic Hierarchical Clustering.☆204Updated 2 years ago
- A repository for explaining feature attributions and feature interactions in deep neural networks.☆188Updated 3 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆42Updated 2 years ago
- ☆311Updated 7 months ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆63Updated 4 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 3 years ago
- Hyperbolic Neural Networks, pytorch☆87Updated 6 years ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆31Updated 4 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆85Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- PyTorch Explain: Interpretable Deep Learning in Python.☆161Updated last year