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Nanjing University
- Nanjing, Jiangsu Province, China
Stars
Python wrapper for TA-Lib (http://ta-lib.org/).
Performance analysis of predictive (alpha) stock factors
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers."
Interactive Data Visualization in the browser, from Python
Python Backtesting library for trading strategies
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
A playbook for systematically maximizing the performance of deep learning models.
A high frequency trading and market making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and o…
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…
Details on how to get Binance public data
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
A Library for Advanced Deep Time Series Models.
This repository stores the implementation of the paper "DETECTING DATA-DRIVEN ROBUST STATISTICAL ARBITRAGE STRATEGIES WITH DEEP NEURAL NETWORKS"
Collection of notebooks about quantitative finance, with interactive python code.
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
Binance Exchange API python implementation for automated trading
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
QuantStart.com - QSTrader backtesting simulation engine.
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
FFCV: Fast Forward Computer Vision (and other ML workloads!)
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content…
This is the code of NeurIPS'21 paper "Towards Enabling Meta-Learning from Target Models".
[BMVC 2021] A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark
📄 Awesome CV is LaTeX template for your outstanding job application
An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.
This is the code of TPAMI manuscript "Generalized Knowledge Distillation via Relationship Matching".