| eugeneyan/applied-ml |
24,828 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
mit |
|
| 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production. |
| M-Nauta/TCDF |
121 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
gpl-3.0 |
Jupyter Notebook |
| Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series |
| dice-group/LIMES |
114 |
|
0 |
0 |
over 3 years ago |
0 |
|
40 |
agpl-3.0 |
JavaScript |
| Link Discovery Framework for Metric Spaces. |
| thuiar/OKD-Reading-List |
113 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
bsd-3-clause |
TeX |
| Papers for Open Knowledge Discovery |
| Raymond-sci/AND |
105 |
|
0 |
0 |
almost 7 years ago |
0 |
|
2 |
mit |
Python |
| Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery |
| kamalkraj/DATA-SCIENCE-BOWL-2018 |
74 |
|
0 |
0 |
about 8 years ago |
0 |
|
1 |
gpl-3.0 |
Jupyter Notebook |
| DATA-SCIENCE-BOWL-2018 Find the nuclei in divergent images to advance medical discovery |
| FreeDiscovery/FreeDiscovery |
60 |
|
0 |
0 |
about 5 years ago |
6 |
May 22, 2018 |
31 |
other |
Python |
| Web Service for E-Discovery Analytics |
| CarsonScott/Knowledge-Discovery-Agents |
38 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
|
| A Goal-Oriented Approach to Knowledge Discovery in Multi-Agent Systems |
| asreview/asreview-insights |
23 |
|
0 |
0 |
almost 3 years ago |
8 |
October 27, 2021 |
2 |
apache-2.0 |
Python |
| Tools such as plots and metrics to analyze (simulated) reviews for ASReview LAB |
| ku-cbd/PhageBoost |
18 |
|
0 |
0 |
over 3 years ago |
5 |
November 17, 2020 |
16 |
gpl-3.0 |
Jupyter Notebook |
| Rapid discovery of novel prophages using biological feature engineering and machine learning |
