nalexai / hyperlib
Library that contains implementations of machine learning components in the hyperbolic space
☆127Updated 5 months ago
Related projects: ⓘ
- Official implementation (learning part) for paper: Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models☆18Updated last month
- Hyperbolic PCA via Horospherical Projections☆68Updated last year
- Differentiable Algorithms and Algorithmic Supervision.☆101Updated last year
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆257Updated 10 months ago
- A centralized place for deep thinking code and experiments☆73Updated last year
- Differentiable Sorting Networks☆103Updated last year
- ☆96Updated 2 years ago
- ☆108Updated last year
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆58Updated 2 years ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆72Updated 3 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆116Updated 2 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆103Updated 2 years ago
- Integrate pytorch☆47Updated 3 years ago
- Code repository for the NAACL 2022 paper "ExSum: From Local Explanations to Model Understanding"☆63Updated 2 years ago
- API for accessing the GraphLog dataset☆90Updated 4 months ago
- Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)☆126Updated 4 years ago
- ☆43Updated this week
- Training and evaluating NBM and SPAM for interpretable machine learning.☆76Updated last year
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆40Updated 2 months ago
- ☆38Updated 2 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆57Updated 3 years ago
- Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling☆30Updated 3 years ago
- PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆31Updated 2 years ago
- Functional deep learning☆106Updated last year
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆97Updated 3 years ago
- Official PyTorch implementation of Hyperbolic Neural Networks++☆63Updated 3 years ago
- ☆133Updated 10 months ago
- Check if you have training samples in your test set☆64Updated 2 years ago
- A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently☆48Updated 9 months ago
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆55Updated 2 years ago