| msgi/nlp-journey |
1,563 |
|
0 |
0 |
over 2 years ago |
3 |
April 29, 2020 |
0 |
apache-2.0 |
Python |
| Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0. |
| 30lm32/ml-projects |
232 |
|
0 |
0 |
over 5 years ago |
0 |
|
|
|
|
| ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python |
| devmount/GermanWordEmbeddings |
224 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets |
| oxford-cs-deepnlp-2017/practical-1 |
220 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Oxford Deep NLP 2017 course - Practical 1: word2vec |
| benedekrozemberczki/Splitter |
203 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
gpl-3.0 |
Python |
| A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019). |
| benedekrozemberczki/role2vec |
157 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018). |
| benedekrozemberczki/MUSAE |
122 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021) |
| benedekrozemberczki/diff2vec |
116 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX. |
| ATEC2018/deep-siamese-text-similarity |
108 |
|
0 |
0 |
almost 8 years ago |
0 |
|
3 |
mit |
Python |
| 基于siamese-lstm的中文句子相似度计算 |
| benedekrozemberczki/walklets |
105 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017). |
