word2gm
Word distribution model
An implementation of Athiwaratkun and Wilson's multimodal word distribution model using Gaussian Mixture distributions.
Word to Gaussian Mixture Model
283 stars
23 watching
73 forks
Language: Jupyter Notebook
last commit: over 5 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 seomoz/word2gauss | This implementation provides a way to represent words as multivariate Gaussian distributions, allowing scalable word embeddings. | 190 |
 zhangxiann/skip-gram | A Python implementation of a neural network model for learning word embeddings from text data | 6 |
 davidavdav/gaussianmixtures.jl | A package implementing a Gaussian Mixture Model (GMM) algorithm for large-scale data analysis | 99 |
 mfaruqui/non-distributional | A repository providing pre-built non-distributional word vector representations for NLP tasks | 62 |
 dswah/pygam | Provides an implementation of generalized additive models in Python for building flexible semi-parametric models | 876 |
 sheffieldml/multigp | Software for modeling and prediction with multiple output Gaussian processes | 48 |
 jwieting/charagram | A tool for training and using character n-gram based word and sentence embeddings in natural language processing. | 125 |
 mmihaltz/word2vec-googlenews-vectors | A repository hosting pre-trained word vector model (3 million 300-dimension English word vectors) from the Google News corpus. | 519 |
 mbzuai-oryx/groundinglmm | An end-to-end trained model capable of generating natural language responses integrated with object segmentation masks for interactive visual conversations | 797 |
 yfzhang114/slime | Develops large multimodal models for high-resolution understanding and analysis of text, images, and other data types. | 143 |
 ermongroup/bgm | Provides an implementation of boosted generative models using Python | 20 |
 mbzuai-nlp/bactrian-x | A collection of multilingual language models trained on a dataset of instructions and responses in various languages. | 94 |
 jquesnelle/txt2imghd | Creates detailed images by upscaling and refining Stable Diffusion outputs | 695 |
 dongwookim-ml/topic-model-lecture-note | Lecture notes on probabilistic topic models using IPython Notebook | 22 |
 elanmart/psmm | An implementation of a neural network model for character-level language modeling. | 50 |