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anningchen's Projects

abu icon abu

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

alwaysbedreaming-dfcil icon alwaysbedreaming-dfcil

PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"

book icon book

:green_book:我的个人书籍学习和收藏

chanlun icon chanlun

基于缠中说禅所讲缠论理论,以便量化分析市场行情的工具

chinese_ocr icon chinese_ocr

CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras

ml-road icon ml-road

Machine Learning Resources, Practice and Research

nndl.github.io icon nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

ocr-table icon ocr-table

Extract tables from scanned image PDFs using Optical Character Recognition.

smartcropper icon smartcropper

🔥 A library for cropping image in a smart way that can identify the border and correct the cropped image. 智能图片裁剪框架。自动识别边框,手动调节选区,使用透视变换裁剪并矫正选区;适用于身份证,名片,文档等照片的裁剪。

stock-prediction-models icon stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations

stockpredictionai icon stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

sts icon sts

Trade Smart in 2018 - 面向多策略开发的自动交易系统

supportnet icon supportnet

SupportNet: solving catastrophic forgetting in class incremental learning with support data

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