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a3c

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

adaptive-autosar

Adaptive Runtime AUTOSAR Linux Simulator

ali-orders

brain dump of non-funct aliexpress login and order dumper.

alicrawler

AliCrawler is a python Class to retrieve data from AliExpress products using HTML output.

audio-super-res

Audio super resolution using neural networks

autojs

auto.js开发的各种自动化脚本

autokeras

accessible AutoML for deep learning.

autosar

autovideo

自动刷快手极速版、抖音极速版、火山急速版、聚看点、趣头条等收益类App，基于AutoJs

brain-tokyo-workshop

🧠🗼

chatrobot

keras+python3下的seq2seq+attention中文对话系统

clash_for_windows_pkg

A Windows/macOS/Linux GUI based on Clash

daas-start-kit

React/Java 技术栈，代码和数据云端生成，本地部署低代码平台，手写代码和生成代码目录分离，适合专业开发人员开发长期维护的软件。

data-analysis

Data Analysis Using Python

deep_reinforcement_learning

Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc

deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

deeplearningbook-chinese

Ian Goodfellow, Yoshua Bengio and Aaron Courville Deep Learing Book Chinese Translation

dqn

Reinforcement Learning for finance

dqn-1

DQN implementation in Keras + TensorFlow + OpenAI Gym

dummy_pred

easytrader

提供券银河/银河客户端/广发/湘财证券/雪球的基金、股票自动程序化交易以及自动打新，支持跟踪 joinquant /ricequant 模拟交易 和 实盘雪球组合, 量化交易组件

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

extreme-parkour

Train your parkour robot in less than 20 hours.

fay

Fay是一个完整的开源项目，包含Fay控制器及数字人模型，可灵活组合出不同的应用场景：虚拟主播、现场推销货、商品导购、语音助理、远程语音助理、数字人互动、数字人面试官及心理测评、贾维斯、Her。 开源项目，非产品试用！！！

financial-forecasting

work for creating a stock forecasting pipeline

fx_systrade

FX system trade programs

harvesttext

领域自适应文本挖掘工具（新词发现、情感分析、实体链接等），基于少量种子词和背景知识

hierarchical-attention-network

My implementation of "Hierarchical Attention Networks for Document Classification" in Keras

keras-mnasnet

A Keras implementation of MnasNet