Papageno's repositories
LSTM-time-series-prediction
201808: using LSTM to make time series pridiction on commodity fututes VWAP.
alphalens
Performance analysis of predictive (alpha) stock factors
arctic
High performance datastore for time series and tick data
CSuperR
self-consistent calculation of cavity field
memo-python
memo for some useful python techniques, tricks or any related things.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-visual-relationship-detection
A curated list of visual relationship detection and related area resources
DBNet
DBNet: A Large-Scale Dataset for Driving Behavior Learning
deep-learning
notes and codes during learning of DL.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Distracted_driver_detection_DeepLearning
Alarming a Driver based on detecting the behaviour of the driver using deep Learning Techniques on live video footage from the dashboard of the car.
financial-data-structures
Create structured financial data in the form of time, tick, volume, and dollar bars from unstructured tick data. From Marcos Lopez de Prado's Advances in Financial Machine Learning textbook.
git_test
test for git
Hands-on-Machine-Learning
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
interesting-python
有趣的Python爬虫和Python数据分析小项目(Some interesting Python crawlers and data analysis projects)
Kaggle
Projects from Kaggle Competitions
kungfu
Kungfu Master Trading System
lihang-code
《统计学习方法》的代码实现
OpenFermion-ProjectQ
Plugin for OpenFermion which supports circuit compilation using ProjectQ.
pyan
pyan is a Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods. This is different from running the code and seeing which functions are called and how often; there are various tools that will generate a call graph in that way, usually using debugger or profiling trace hooks - for example: https://pycallgraph.readthedocs.org/ This code was originally written by Edmund Horner, and then modified by Juha Jeronen. See README for the original blog posts and links to their repositories.
QuSpin
A python wrapper for doing ED calculations on many-body systems
qutip
QuTiP: Quantum Toolbox in Python
scihub.py
Python API and command-line tool for Sci-Hub
spinningup
An educational resource to help anyone learn deep reinforcement learning.
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
talib-document
talib学习 talib中文翻译 talib中文文档
universal-portfolios
Collection of algorithms for online portfolio selection
zipline
Zipline, a Pythonic Algorithmic Trading Library