KindLab (wangxb96)

wangxb96

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Company:KindLab

Home Page:wangxubin.site

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KindLab's starred repositories

pandas-technical-indicators

Technical Indicators implemented in Python using Pandas

Language:PythonLicense:MITStargazers:474Issues:0Issues:0

IntroNeuralNetworks

Introducing neural networks to predict stock prices

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gemini

Backtesting for sleepless cryptocurrency markets

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Strata

Open source analytics and market risk library from OpenGamma

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MachineLearningStocks

Using python and scikit-learn to make stock predictions

Language:PythonLicense:MITStargazers:1730Issues:0Issues:0

quant-trading

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

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PyPortfolioOpt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Language:Jupyter NotebookLicense:MITStargazers:4353Issues:0Issues:0

mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

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EliteQuant

A list of online resources for quantitative modeling, trading, portfolio management

License:Apache-2.0Stargazers:2890Issues:0Issues:0

bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

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QuantLib

The QuantLib C++ library

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Financial-Models-Numerical-Methods

Collection of notebooks about quantitative finance, with interactive python code.

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awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

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ml-road

Machine Learning Resources, Practice and Research

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sparse-evolutionary-artificial-neural-networks

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Language:PythonLicense:MITStargazers:238Issues:0Issues:0

deep-learning-illustrated

Deep Learning Illustrated (2020)

Language:Jupyter NotebookLicense:MITStargazers:697Issues:0Issues:0

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

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Python-100-Days

Python - 100天从新手到大师

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ESL-CN

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:2401Issues:0Issues:0

mlcourse.ai

Open Machine Learning Course

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