pytorch-sgns
SkipGramLoss
An implementation of Word2Vec's SkipGramNegativeSampling in PyTorch with support for word frequency distribution and subsampling.
Skipgram Negative Sampling implemented in PyTorch
302 stars
9 watching
59 forks
Language: Python
last commit: over 3 years ago pytorchpytorch-implementationskipgramword2vec
Related projects:
| Repository | Description | Stars |
|---|---|---|
 fanglanting/skip-gram-pytorch | A PyTorch implementation of the skip-gram model for learning word embeddings. | 188 |
 sanyam5/skip-thoughts | An implementation of Skip-Thought Vectors in PyTorch for modeling relationships between words and sentences. | 225 |
 kefirski/pytorch_neg_loss | A PyTorch implementation of negative sampling loss for text classification models | 125 |
 guillaume-chevalier/sgnn-self-governing-neural-networks-projection-layer | Reproduces a SGNN's word projections preprocessing pipeline using word n-grams instead of skip-grams | 23 |
 fgxaos/pytorch-innvestigate | PyTorch implementation of an explainability technique for deep neural networks | 9 |
 ericsun99/shufflenet-v2-pytorch | A PyTorch implementation of a ShuffleNet-v2 neural network architecture for image classification. | 431 |
 kazuto1011/pspnet-pytorch | Re-implementation of a deep learning model for semantic segmentation using PyTorch. | 52 |
 zhangxiann/skip-gram | A Python implementation of a neural network model for learning word embeddings from text data | 6 |
 wxywhu/srdensenet-pytorch | A PyTorch implementation of an image super-resolution model based on dense skip connections. | 119 |
 dougsouza/pytorch-sync-batchnorm-example | An example project demonstrating how to use synchronized batchnorm in PyTorch with multiple GPUs | 249 |
 tramac/fast-scnn-pytorch | A PyTorch implementation of a deep learning model for semantic segmentation tasks in computer vision. | 380 |
 javeywang/pyramid-attention-networks-pytorch | An implementation of a deep learning model using PyTorch for semantic segmentation tasks. | 237 |
 msamogh/nonechucks | Library that provides dynamic data cleaning and filtering capabilities for PyTorch datasets and samplers | 378 |
 prlz77/resnext.pytorch | Reproduces ResNet-V3 with PyTorch for computer vision tasks | 511 |
 gsp-27/pytorch_squeezenet | A PyTorch implementation of the Squeezenet model with pre-trained weights on CIFAR 10 data for deep learning tasks. | 91 |