| OpenBB-finance/OpenBBTerminal |
25,416 |
|
0 |
5 |
about 2 years ago |
34 |
November 30, 2023 |
283 |
mit |
Python |
| Investment Research for Everyone, Everywhere. |
| hackerkid/Mind-Expanding-Books |
10,856 |
|
0 |
0 |
over 2 years ago |
0 |
|
19 |
|
JavaScript |
| :books: Find your next book to read! |
| akfamily/akshare |
7,871 |
|
0 |
33 |
about 2 years ago |
2,049 |
December 05, 2023 |
0 |
mit |
Python |
| AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库 |
| learn-anything/books |
4,970 |
|
0 |
0 |
over 2 years ago |
0 |
|
9 |
cc0-1.0 |
|
| Awesome Books |
| JerBouma/FinanceToolkit |
4,482 |
|
0 |
3 |
6 months ago |
4 |
September 20, 2023 |
4 |
mit |
Python |
| Transparent and Efficient Financial Analysis |
| py-why/EconML |
3,400 |
|
0 |
4 |
about 2 years ago |
31 |
November 11, 2023 |
326 |
other |
Jupyter Notebook |
| ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x. |
| QuantEcon/QuantEcon.py |
1,804 |
|
4 |
6 |
about 2 years ago |
40 |
May 30, 2023 |
68 |
mit |
Python |
| A community based Python library for quantitative economics |
| ARPSyndicate/awesome-intelligence |
1,597 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
cc0-1.0 |
|
| A collaboratively curated list of awesome Open-Source Intelligence (OSINT) Resources |
| antontarasenko/awesome-economics |
1,101 |
|
0 |
0 |
over 2 years ago |
0 |
|
8 |
|
|
| A curated collection of links for economists |
| 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). |
