🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".

Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)

Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.

Making large AI models cheaper, faster and more accessible

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, yo…

📚 华泰金工研究报告

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Code for Machine Learning for Algorithmic Trading, 2nd edition.

The Unified Machine Learning Framework

Methods and Implements of Deep Clustering

Performance analysis of predictive (alpha) stock factors

PyTorch 1.5 implementation for paper DECOR-GAN: 3D Shape Detailization by Conditional Refinement.

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

Feature engineering of a Limit Order Book. Extraction of features from a LOB in order to analyse the behaviour of trade market.

Official Repository for Argoverse Motion Forecasting Baselines

TuShare is a utility for crawling historical data of China stocks

The devkit of the nuScenes dataset.

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

Google Research

simons sdk, a financial data library, for quantitative researcher

PyTorch Implementation of some RGBD Semantic Segmentation models.

A selection of state-of-the-art research materials on trajectory prediction