Showing 40 open source projects for "math with python learn"

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  • 1
    aws-devops-zero-to-hero

    aws-devops-zero-to-hero

    AWS zero to hero repo for devops engineers to learn AWS in 30 Days

    aws-devops-zero-to-hero is a 30-day AWS learning roadmap aimed squarely at DevOps engineers who want both conceptual understanding and hands-on projects. The README is structured as a day-by-day syllabus, starting with “Day 1: Introduction to AWS” and moving through IAM, EC2, VPC networking, security, DNS (Route 53), storage (S3), and many other core services. Each day mixes explanation with at least one concrete project or lab, such as deploying applications on EC2, designing secure VPCs,...
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  • 2
    eCxx

    eCxx

    A C++ library for AVR and NodeMCU

    NOTE: This project is marked with 'Status: Abandoned' on SourceForge because not enough time can be dedicated to this project. However it may still get sporadic commits to the repository. eCxx is a library for AVR and NodeMCU tailored for micro LED displays and lighting effects. eCxx is utilizing Makefile build system. Java and Python based applications/tools are also included to ease the development and debugging process using the host PC. On one side, eCxx supports the original...
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  • 3
    SageMaker Scikit-Learn Extension

    SageMaker Scikit-Learn Extension

    A library of additional estimators and SageMaker tools based on scikit

    A library of additional estimators and SageMaker tools based on scikit-learn. This project contains standalone scikit-learn estimators and additional tools to support SageMaker Autopilot. Many of the additional estimators are based on existing scikit-learn estimators. SageMaker Scikit-Learn Extension is a Python module for machine learning built on top of scikit-learn. In order to use the I/O functionalies in the sagemaker_sklearn_extension.externals module, you will also need to install the mlio version 0.7 package via conda. ...
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  • 4
    Awesome Conformal Prediction

    Awesome Conformal Prediction

    A professionally curated list of awesome Conformal Prediction videos

    awesome-conformal-prediction is a curated “awesome list” repository on GitHub collecting high-quality resources related to conformal prediction: tutorials, books, papers, theses, open-source libraries, videos, and other educational material. It is not a software library itself but a directory of resources for those wanting to learn or work with conformal prediction and uncertainty quantification. This exceptional resource is the culmination of my PhD journey in Machine Learning, specializing...
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  • 5
    Differentiable Neural Computer

    Differentiable Neural Computer

    A TensorFlow implementation of the Differentiable Neural Computer

    The Differentiable Neural Computer (DNC), developed by Google DeepMind, is a neural network architecture augmented with dynamic external memory, enabling it to learn algorithms and solve complex reasoning tasks. Published in Nature in 2016 under the paper “Hybrid computing using a neural network with dynamic external memory,” the DNC combines the pattern recognition power of neural networks with a memory module that can be written to and read from in a differentiable way. This allows the...
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  • 6
    gditools

    gditools

    A Python program/library aimed at GD-ROM image files.

    This Python program/library is designed to handle GD-ROM image (GDI) files. It can be used to list files, extract data, generate sorttxt file, extract bootstrap (IP.BIN) file and more. This project can be used in standalone mode, in interactive mode or as a library in another Python program (check the 'addons' folder to learn how). For your convenience, you can use the gditools.py GUI program supplied in the Files section (optional).
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    Downloads: 9 This Week
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  • 7
    TF Quant Finance

    TF Quant Finance

    High-performance TensorFlow library for quantitative finance

    TF Quant Finance is a high-performance library of quantitative finance components built on TensorFlow, aimed at research and production workloads. It implements pricing engines, risk measures, stochastic models, optimizers, and random number generators that are differentiable and vectorized for accelerators. Users can value options and fixed-income instruments, simulate paths, fit curves, and calibrate models while leveraging TensorFlow’s jit compilation and automatic differentiation. The...
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  • 8
    data-science-ipython-notebooks

    data-science-ipython-notebooks

    Data science Python notebooks: Deep learning

    Data Science IPython Notebooks is a broad, curated set of Jupyter notebooks covering Python, data wrangling, visualization, machine learning, deep learning, and big data tools. It aims to be a practical map of the ecosystem, showing hands-on examples with libraries such as NumPy, pandas, matplotlib, scikit-learn, and others. Many notebooks introduce concepts step by step, then apply them to real datasets so readers can see techniques in action.
    Downloads: 0 This Week
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  • 9
    Functional, Data Science Intro To Python

    Functional, Data Science Intro To Python

    [tutorial]A functional, Data Science focused introduction to Python

    The first section is an intentionally brief, functional, data science-centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn Python with the smallest amount of information possible. The sections after that, involve varying levels of difficulty and cover topics as diverse as Machine Learning, Linear Optimization, build systems, command line tools, recommendation engines, Sentiment Analysis and Cloud Computing.
    Downloads: 2 This Week
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    eProcurement Software

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  • 10
    node2vec

    node2vec

    Learn continuous vector embeddings for nodes in a graph using biased R

    The node2vec project provides an implementation of the node2vec algorithm, a scalable feature learning method for networks. The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction....
    Downloads: 1 This Week
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  • 11

    deemon

    Deemon Scripting Language

    A rich and powerful scripting language supporting the c preprocessor, classes, exceptions, lambdas, yield functions, label, switch-statement, pointers, foreign functions, and much more. With a fully packed standard library including support for file-io, threads, atomics, pipes, math, file-system, sockets, randomization, hashing, serialization, a wide selection of emulated c/c++ headers and more, deemon provides a suitable environment for any application. Syntax is easy to read and understand and is mostly based on the common languages such as c/c++, java and python, though for those fascinated by it, reaches very deep and allows for pleasingly beautiful code to be written. ...
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  • 12
    Python scripts that eventually work. The goal is to put together helpful python libraries, at first to learn more about python. There will at least be a library to generate regular expressions and more should come later. The latest version of the code is available in code-git (code / svn is not maintained anymore)
    Downloads: 0 This Week
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  • 13

    math toolkit

    A C++ and Python library for finance, statistics and linear algebra.

    A lightweight C++ and Python library for finance, statistics and linear algebra. Finance features include compound rate present/future value, annuity, various present/future value coefficients ... Statistics features include mean, median, variance, standard deviation, covariance, correlation, linear regression, probabilities and random variates of various distributions ... Linear algebra features include matrix arithmetic, inverse, determinant, rank, linear system solution, lu/qr...
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  • 14
    PyLibrary

    PyLibrary

    Libraries for Python developers.

    Development in Python (be it website or an App development or implementation of an automation framework) always involves certain operations like handling db queries, operations on web, development of data structures, windows operations (handing services, registries), logging and many more... What, if you have these libraries handy with you all the time? Just import and start using them.. In comes PyLibrary.. PyLibrary is a collection of infrastructure libraries that aid faster...
    Downloads: 0 This Week
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  • 15
    flixel

    flixel

    flixel is a free Actionscript (Flash) library

    Flixel is a free, open-source game development library written in ActionScript 3 originally for Flash, created by Adam “Atomic” Saltsman. It provides a lightweight yet powerful base framework to build 2D games: handling rendering, input, collisions, tilemaps, particles, cameras, etc. It was designed to be easy to learn and extend, useful both for simple arcade style games and more elaborate ones. It has been used for many indie / Flash games (including commercial and contest-nominated ones),...
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