Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…

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

pseudocode and algorithms for the paper "Alpha$^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning"

Database for L2 orderbook

Implementation code：Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models

[CVPR-2021] UnrealPerson: An adaptive pipeline for costless person re-identification

Scripts and doc for https://www.dolthub.com/repositories/chenditc/investment_data

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…

Implementation for Learning to Track with Object Permanence

OpenMMLab Detection Toolbox and Benchmark

Blochchain Hackathon 2021

(CVPR 2021) PRTR: Pose Recognition with Cascade Transformers

一个基于前后端分离的电商比价网站比比淘，使用技术：SpringBoot+Mybatis+Jquery+爬虫爬取京东淘宝+数据分析预测。欢迎各位查看使用~

a lightweight modular quant framework

机械革命Z2 Air黑苹果EFI

This will give you the necessary files you need in the progress of install mac os on you Mechrevo laptop.

Code for a 1st place model in Carvana Image Masking Challenge

机器学习和量化分析学习进行中

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

High-Level Training, Data Augmentation, and Utilities for Pytorch

A memory-efficient implementation of DenseNets

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Collection of generative models in Pytorch version.

PyTorch for Semantic Segmentation

基于Tushare和Echarts的股票数据视觉化应用。支持前／后／无复权个股K线，大盘指数，高开低收，个股每日分笔，个股前十大股东，单日高频数据的视觉化. Tuchart is a visualization interface for the Chinese stock market. Tuchart supports candlestick charts, price charts, …

实时获取新浪 / Leverfun 的免费股票以及 level2 十档行情 / 集思路的分级基金行情

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

awesome-semantic-segmentation