bscully27

bscully27

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cpython

The Python programming language

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mamba

The Fast Cross-Platform Package Manager

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quantstats

Portfolio analytics for quants, written in Python

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vectorbt

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

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qstrader

QuantStart.com - QSTrader backtesting simulation engine.

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pyvista

3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

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bottleneck

Fast NumPy array functions written in C

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trendln

Support and Resistance Trend lines Calculator for Financial Analysis

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hyperspy

Multidimensional data analysis

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cubesviewer

Explore and visualize analytical datasets

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numbagg

Fast N-dimensional aggregation functions with Numba

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numpy-groupies

Optimised tools for group-indexing operations: aggregated sum and more

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dash-ag-grid

Dash AG Grid is a high-performance and highly customizable component that wraps AG Grid, designed for creating rich datagrids.

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Probabilistic-Sharpe-Ratio

Probabilistic Sharpe Ratio example in Python (by Marcos López de Prado)

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pybobyqa

Python-based Derivative-Free Optimization with Bound Constraints

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PythonMultiDimensionalPlots

Interactive higher dimension plots generated using python and plotly. Use of pseudo dimensions for drawing upto 6D plot.📉📈📊

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pnumpy

Parallel NumPy seamlessly speeds up NumPy for large arrays (64K+ elements) with no change required to existing code.

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numpy_ext

An extension library for NumPy that implements common array operations not present in NumPy

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ImAxes

Immersive visualisation tool for multidimensional data

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abstention

Algorithms for abstention, calibration and domain adaptation to label shift.

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masa

Motif-Aware State Assignment in Noisy Time Series Data

scikit-obliquetree

Oblique Decision Tree in Python

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Medium-posts

Code from some of the posts I published at https://medium.com/@xoelop

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DOSNES

Implementation of the Doubly Stochastic Neighbor Embedding on Spheres algorithm published by Yao Lu in Sep. 2016 (Source : https://arxiv.org/abs/1609.01977)

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emm

Exceptional Model Mining is a descriptive data mining technique to find interesting patterns in datasets. This package contains a Python inmplementation of Exceptional Model Mining that can be applied to any dataset.

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CBOE_scrape

Scraping options data from CBOE website and make simple analysis

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Advanced-Deep-Trading

Mostly experiments based on "Advances in financial machine learning" book

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optimal-binning

compute best number of bins for a histogram

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HHTAttributes

Generate attributes from Hilbert Huang Transform (aka Empirical Mode Decomposition)

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SE4TeC

A Scalable Engine for efficient and expressive Time Series Classification

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