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miniqmc

QMCPACK miniapp: a simplified real space QMC code for algorithm development, performance portability testing, and computer science experiments

minithesis

A very minimal implementation of the core idea of Hypothesis

minkowskiengine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

mipnerf

mirror-cwi-stdwin

CWI's HPND-licensed STDWIN lib from the '90s, optional GUI lib in several 1.x Python versions, now hard to find (searched an FTP indexer years ago). Some minor adjustments to allow compiling on a current system. No guarantees of safety, fitness &c. I have been able to build usable binaries only on a 32-bit machine, unsure why.

mirror-leech-telegram-bot

Aria/qBittorrent Telegram mirror/leech bot

misaka

A Python binding for Hoedown.

miss-islington

🐍🍒⛏🤖 - A bot for backporting and merging CPython pull requests

mistune

A fast yet powerful Python Markdown parser with renderers and plugins.

mistune-docx

Markdown to Docx converter

mistune-feedstock

A conda-smithy repository for mistune.

mitiq

Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.

mitmf

Framework for Man-In-The-Middle attacks

mitmproxy

An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.

mixer

Mixer -- Is a fixtures replacement. Supported Django, Flask, SqlAlchemy and custom python objects.

mixmatch

mkdocs

Project documentation with Markdown.

mkl-service

Python bindings to some MKL service functions

mkosi

💽 Build Bespoke OS Images

ml

Machine Learning Projects and Learning Content

ml-arsenal-public

Full pipeline of a data science competition (public version)

ml-cheatsheet

A constantly updated python machine learning cheatsheet

ml-compiler-opt

Infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM.

ml-data-prep-zoo

ml-design-patterns

O'Reilly <머신러닝 디자인 패턴 Machine Learning Design Patterns> 소스코드 저장소

ml-fairness-gym

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ml-foundations

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-from-scratch-1

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.