| salesforce/ai-economist |
1,022 |
|
0 |
0 |
over 2 years ago |
13 |
March 04, 2022 |
26 |
bsd-3-clause |
Python |
| Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist). |
| okfn-brasil/querido-diario |
944 |
|
0 |
0 |
about 2 years ago |
0 |
|
182 |
mit |
Python |
| 📰 Diários oficiais brasileiros acessíveis a todos | 📰 Brazilian government gazettes, accessible to everyone. |
| shreyashankar/datasets-for-good |
84 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
|
| List of datasets to apply stats/machine learning/technology to the world of social good. |
| NREL/phygnn |
61 |
|
0 |
1 |
over 2 years ago |
26 |
November 29, 2023 |
0 |
bsd-3-clause |
Python |
| physics-guided neural networks (phygnn) |
| mratsim/McKinsey-SmartCities-Traffic-Prediction |
38 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge |
| ongov/AI-Principles |
19 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
other |
|
| Alpha principles for the ethical use of AI and Data Driven Technologies in Ontario | Proposition de principes pour une utilisation éthique des technologies axées sur les données en Ontario |
| geekysethi/Urbanization-change-detection |
9 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Urbanization detection using computer vision algorithms to reduce the reliance on the data of government surveys, which will speed up the policy making process. |
| ongov/Transparency-Guidelines |
8 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
other |
|
| Minimize the risks and maximize the benefits of using data-driven technologies within government processes, programs and services through transparency. | Réduire les risques et à maximiser les avantages liés à l’utilisation de technologies axées sur les données, dans le cadre de processus, programmes et services gouvernementaux, grâce à la transparence. |
| RedHatGov/MLS-Workbook |
7 |
|
0 |
0 |
over 9 years ago |
0 |
|
4 |
unlicense |
Makefile |
| Red Hat Government hands-on workshop to explore MLS System Operation under RHEL6 |
| eellak/gsoc2018-GG-extraction |
6 |
|
0 |
0 |
over 7 years ago |
0 |
|
3 |
gpl-3.0 |
Python |
| NER & Metadata Extraction of the Greek Government Gazette |
