| materialsintelligence/mat2vec |
581 |
|
0 |
0 |
almost 3 years ago |
0 |
|
7 |
mit |
Python |
| Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019). |
| fastai/word-embeddings-workshop |
114 |
|
0 |
0 |
over 8 years ago |
0 |
|
2 |
|
HTML |
| This contains materials for the word embeddings workshop |
| ArthurSpirling/EmbeddingsPaper |
42 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
|
|
| Paper and related materials for Rodriguez & Spirling (forthcoming) word embeddings overview and assessment |
| olivettigroup/materials-word-embeddings |
27 |
|
0 |
0 |
over 8 years ago |
0 |
|
0 |
mit |
Python |
| Word2Vec model trained across 640k+ materials science journal articles |
| tomytjandra/word2vec-embeddings |
8 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Understanding Word2Vec with Gensim and Elang (Python Packages) |
| vpodpecan/representation_learning |
8 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| This repository contains supplementary material for the book "Representation learning: propositionalization and embeddings" |
| henchc/textxd-2017 |
6 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| Materials for preTextXD-2017: zero -> Text Analysis |
