| microsoft/qlib |
13,295 |
|
0 |
1 |
about 2 years ago |
32 |
July 18, 2023 |
193 |
mit |
Python |
| Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL. |
| firmai/financial-machine-learning |
5,277 |
|
0 |
0 |
about 2 years ago |
0 |
|
5 |
|
Python |
| A curated list of practical financial machine learning tools and applications. |
| georgezouq/awesome-ai-in-finance |
2,537 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
cc0-1.0 |
|
| 🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market. |
| grananqvist/Awesome-Quant-Machine-Learning-Trading |
1,896 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
|
|
| Quant/Algorithm trading resources with an emphasis on Machine Learning |
| darwinex/DarwinexLabs |
192 |
|
0 |
0 |
over 6 years ago |
0 |
|
4 |
bsd-3-clause |
Python |
| Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex |
| mohitsharma-sh/ML-Interview |
182 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
|
|
| Resources I used for ML Engineer, Applied Scientist and Quant Researcher interviews. |
| dingran/quant-notes |
101 |
|
0 |
0 |
about 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Quantitative Interview Preparation Guide, updated version here ==> |
| euclidjda/deep-quant |
98 |
|
0 |
0 |
over 6 years ago |
0 |
|
1 |
mit |
Python |
| Deep learning for forecasting company fundamental data |
| StateOfTheArt-quant/trading_gym |
25 |
|
0 |
0 |
almost 5 years ago |
0 |
|
1 |
apache-2.0 |
Python |
| a unified environment for supervised learning and reinforcement learning in the context of quantitative trading |
| parmarsuraj99/numerai-guides |
20 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Repository for Numer.ai guides |
