Arnab Dutta's repositories

aedis

An async redis client designed for performance and scalability

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AlgoTrading

Python Implementations of popular Algorithmic Trading Strategies

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Astibot

Astibot is a simple, visual and automated trading software for Coinbase Pro cryptocurrencies (Bitcoin trading bot)

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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

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awesome-quant

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

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bashrc

A customised ~/.bashrc file

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CppLowess

A pure C++ implementation of the lowess algorithm using templates

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CppWeightedLowess

A standalone C++ implementation of limma::weightedLowess.

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Dank

Here lies the greatest Reddit app that was never released

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Data-Science-Cookbook

Data science cookbook

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datasciencecoursera

for Data Science class on Coursera

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duelyst

Duelyst is a digital collectible card game and turn-based strategy hybrid, developed by Counterplay Games.

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mlcourse.ai

Open Machine Learning course mlcourse.ai, both in English and Russian

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optim

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

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public-apis

A collective list of public JSON APIs for use in web development.

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Python

All Algorithms implemented in Python

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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PythonDataScienceHandbookLocal

My run through of the Python Data Science Handbook by @jakedvp

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qlib

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

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qtpylib

QTPyLib, Pythonic Algorithmic Trading

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RedditAlgoTrading

Collection of reddit algo trading bots/models

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TSM3.0-Settings

Settings for TSM

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WorldQuant_alpha101_code

Code implementation of the Quantigic 101 Formulaic Alphas

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