Laurent Bouvier (lbfin)

lbfin

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Laurent Bouvier's repositories

lbfin

My personal repository

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pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

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jedha_test

comment creer un repo

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pandas-introduction

Introduction to pandas Tutorial presented at EuroSciPy 2022

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matplotplusplus

Matplot++: A C++ Graphics Library for Data Visualization 📊🗾

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video-slides

Slides used in our videos

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MLJ.jl

A Julia machine learning framework

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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doctest

The fastest feature-rich C++11/14/17/20 single-header testing framework for unit tests and TDD

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TensorRT

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

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scikit-learn

scikit-learn: machine learning in Python

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WilmottArticle

Companion code to the series of articles on AAD in Wilmott Magazine

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Spoon-Knife

This repo is for demonstration purposes only.

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CPPP-19

Slides and resources from CPPP 2019

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eigen

Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms.

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padleft

Very very serious C++ library

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xlCppTutorial

Exporting C++ code to Excel : a quick and painless tutorial by Antoine Savine

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WhirlwindTourOfPython

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

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hello-world

test set up repo

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curve-building

Libor curve bootstrapping example from cash, Eurodollar future and interest rate swap instruments.

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Machine-Learning

Find all the relevant material of machine learning here and give your career a kick-start.

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fastai

The fast.ai deep learning library, lessons, and tutorials

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QuantitativePrimer

An Interview Primer for Quantitative Finance

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stlalgorithms

STL Algorithms exercises

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CMake101

A Series of CMake tasks in ever increasing levels of difficulty and silliness.

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