| piskvorky/gensim |
14,915 |
|
2,371 |
766 |
over 2 years ago |
93 |
August 24, 2023 |
405 |
lgpl-2.1 |
Python |
| Topic Modelling for Humans |
| raphaelsty/cherche |
295 |
|
0 |
0 |
over 2 years ago |
19 |
September 09, 2023 |
2 |
mit |
Python |
| 📑 Neural Search |
| oaqa/FlexNeuART |
208 |
|
0 |
0 |
about 2 years ago |
0 |
|
6 |
apache-2.0 |
Java |
| Flexible classic and NeurAl Retrieval Toolkit |
| AdeDZY/K-NRM |
157 |
|
0 |
0 |
over 8 years ago |
0 |
|
12 |
bsd-3-clause |
Python |
| K-NRM: End-to-End Neural Ad-hoc Ranking with Kernel Pooling |
| gopala-kr/summary |
126 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
|
| summaries of all the papers I read |
| cvangysel/SERT |
85 |
|
0 |
0 |
over 8 years ago |
0 |
|
3 |
mit |
Python |
| Semantic Entity Retrieval Toolkit |
| LearnPythonWithRune/MachineLearningWithPython |
79 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Get started with Machine Learning with Python - An introduction with Python programming examples |
| cvangysel/cuNVSM |
49 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
mit |
Cuda |
| Neural Vector Space Models |
| Ryanglambert/3d_model_retriever |
29 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Experimenting with a newly published deep learning paper and how it can be used for content-based 3D model retrieval. (info retrieval for CAD) |
| ucasir/NPRF |
27 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval |
