nalexai / hyperlibLinks
Library that contains implementations of machine learning components in the hyperbolic space
☆143Updated 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☆124Updated 2 years ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆259Updated 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
- Hyperbolic PCA via Horospherical Projections☆74Updated 2 years ago
- ☆35Updated last year
- Differentiable Algorithms and Algorithmic Supervision.☆116Updated 2 years ago
- Graph Data Augmentation Library for PyTorch Geometric☆133Updated 3 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆60Updated 3 years ago
- Convert scikit-learn models to PyTorch modules☆168Updated last year
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆31Updated 4 years ago
- Functional deep learning☆108Updated 3 years ago
- A centralized place for deep thinking code and experiments☆87Updated 2 years ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Implementation of deep implicit attention in PyTorch☆65Updated 4 years ago
- ☆100Updated 3 years ago
- (Personalized) Page-Rank computation using PyTorch☆92Updated 3 years ago
- A Python package for generating concise, high-quality summaries of a probability distribution☆55Updated 3 weeks ago
- Hyperbolic Hierarchical Clustering.☆205Updated 2 years ago
- ☆312Updated 9 months ago
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆141Updated 5 years ago
- A repository for explaining feature attributions and feature interactions in deep neural networks.☆192Updated 3 years ago
- Code accompanying paper: Meta-Learning to Improve Pre-Training☆37Updated 4 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Updated 3 years ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆53Updated 2 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆63Updated 4 years ago
- ☆139Updated 2 years ago
- ☆121Updated 2 years ago
- Repo for open sourcing the NAMs.☆25Updated 5 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆121Updated 4 years ago