ycl010203 Goto Github PK

-chanlun

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。

a-practical-guide-to-quantum-machine-learning-and-quantum-optimization

A Practical Guide to Quantum Machine Learning and Quantum Optimization, published by Packt

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

acer

Actor-critic with experience replay

acme

A library of reinforcement learning components and agents

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

advanced-python-programming-second-edition

Advanced Python Programming, Second Edition, published by Packt

ai-system

System for AI Education Resource.

aiif

Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.

algotrading

Financial Machine Learning and Algorithmic Trading with Python

alphagen

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

alphalens

Performance analysis of predictive (alpha) stock factors

annotated_deep_learning_paper_implementations

🧑‍🏫 47 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

ape-x

PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

awesome-deeplearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

awesome-quant

**的Quant相关资源索引

backtrader

Python Backtesting library for trading strategies

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bm_sgbm

Block Matching and Semi-global Matching (OpenCV/Python)

browser-automation-with-python-and-selenium

Browser Automation with Python and Selenium by Packt Publishing

chainerrl

ChainerRL is a deep reinforcement learning library built on top of Chainer.

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

collaborative-pushing-grasping

competition-baseline

数据科学竞赛知识、代码、思路

competition_baselines

开源的各大比赛baseline

conv-tt-lstm

cql

Code for conservative Q-learning

d3rlpy

An offline deep reinforcement learning library

d4pg

Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym environments.