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py_ml_utils

Some small utility modules to help with pandas, numpy and sklearn usage in other projects

python_data_structures_and_algorithms

Python 中文数据结构和算法教程

python_tutorial

Python 3 tutorial for machine learning and natural language processing.

pythonalgorithms

Python general notes

pythoncde

The repository contains python projects that I did as part of my MSc. Financial Engineering program at WorldQuant University U.S.A

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonmachinelearning

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

pythontutorial

From Microsoft's FREE Edx course

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-tutorial

Build your neural network easy and fast

pytorch-tutorial-1

PyTorch Tutorial for Deep Learning Researchers

pytricks

Collection of less popular features and tricks for the Python programming language

qc-smart-beta-strategies

Repo for the Smart Beta strategies written for the QuantConnect platform

qc-tick-data-strategies

Repo for the Tick Based Trend Following strategies written for the QuantConnect platform

qdap

Quantitative Discourse Analysis Package: Bridging the gap between qualitative data and quantitative analysis

qgrid

An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks

qtpylib

QTPyLib, Pythonic Algorithmic Trading

quandl-python

quantinsti-final-project-statistical-arbitrage

QuantInsti EPAT: Final Project on Statistical Arbitrage

quantstats

Portfolio analytics for quants, written in Python

r

General R notes (not projects)

r-fcn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

r-fixedincome

Fixed income tools for R

r4ds

R for data science: a book

ranking

Learning to Rank in TensorFlow

real-world-machine-learning

Code accompanying the Real-World Machine Learning book

recommendation_system

Xccelerate Data Science Bootcamp Collaborative Project: 4 flavours of recommendation systems

regmodsbook

A companion book for the Coursera Regression Models class

regression-and-technical-analysis-of-stock-market

The Project is related to Regression and Technical Analysis of Stock Market, The link to project report:

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.