poincare-embeddings
Hierarchical embeddings
Implementation of Poincaré Embeddings algorithm in PyTorch for hierarchical representation learning
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
2k stars
50 watching
231 forks
Language: Python
last commit: 4 months ago
Linked from 3 awesome lists
Related projects:
Repository | Description | Stars |
---|---|---|
facebookresearch/pycls | A flexible PyTorch image classification framework for rapid research exploration and model evaluation. | 2,138 |
ignacio-rocco/detectorch | A PyTorch wrapper around Facebook AI Research's Detectron models for object detection and instance segmentation | 558 |
fanglanting/skip-gram-pytorch | A PyTorch implementation of the skip-gram model for learning word embeddings. | 188 |
clementpinard/sfmlearner-pytorch | PyTorch implementation of unsupervised depth and ego-motion learning from video sequences | 1,014 |
fursovia/geometric_embedding | An implementation of a non-parameterized approach for building sentence representations | 19 |
bigredt/vico | Multi-sense word embeddings learned from visual cooccurrences | 25 |
boyuanjiang/context_encoder_pytorch | A PyTorch implementation of a deep learning model for inpainting images using contextual information | 365 |
facebookresearch/eft | Provides pseudo-GT 3D human pose data and pre-trained models for training 3D pose estimation algorithms | 376 |
sarapieri/fed_het | This project investigates how to design architectures that enable better performance in federated learning systems, particularly for visual recognition tasks. | 10 |
jwieting/paragram-word | Trains word embeddings from a paraphrase database to represent semantic relationships between words. | 30 |
jhoon-oh/fedbabu | An implementation of federated learning for image classification tasks | 51 |
emilyalsentzer/clinicalbert | Provides pre-trained embeddings for clinical text data | 674 |
benedekrozemberczki/role2vec | An implementation of a deep learning-based method for creating vector representations of nodes in a graph | 166 |
hanjun-dai/pytorch_structure2vec | An implementation of structure2vec, a method to generate vector representations from molecular structures | 307 |
facebookresearch/spanbert | This repository provides pre-trained models and code for using SpanBERT in various natural language processing tasks. | 891 |