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.
machine-learning
deep-learning
python
platform
research
finance
algorithmic-trading
auto-quant
fintech
investment
paper
quant
quant-dataset
quant-models
quantitative-finance
quantitative-trading
research-paper
stock-data
Обновлено 2024-11-13 06:41:06 +03:00
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Обновлено 2022-08-30 11:00:20 +03:00
Qlib-Server is the data server system for Qlib. It enable Qlib to run in online mode. Under online mode, the data will be deployed as a shared data service. The data and their cache will be shared by all the clients. The data retrieval performance is expected to be improved due to a higher rate of cache hits. It will consume less disk space, too.
Обновлено 2022-07-08 05:15:09 +03:00
This repo provides the code for the ACL 2020 paper "Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder"
Обновлено 2020-11-22 19:07:03 +03:00
Qubit Modeling Tools (QMT) for computational modeling of quantum devices
Обновлено 2019-06-19 00:56:29 +03:00
INACTIVE - http://mzl.la/ghe-archive - ping-centre based, up-to-the-minute display of global Firefox Quantum adoption
Обновлено 2017-11-14 02:13:03 +03:00