sprinterzzj,zijie zhang,github

matplotlib-for-python-developers-second-edition

Matplotlib for Python Developers, Second Edition by Packt

mediapipe

MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines

megnet

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

metpy

MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

microsoft-malware-prediction

https://www.kaggle.com/c/microsoft-malware-prediction/leaderboard

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

ml-class

Machine learning lessons and teaching projects designed for engineers

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-note

:orange_book:慢慢整理所学的机器学习算法，并根据自己所理解的样子叙述出来。(注重数学推导)

ml-system-design-pattern

System design patterns for machine learning

ml-web-app

Train and Deploy Machine Learning Model With Web Interface - Docker, PyTorch & Flask

ml-workspace

🛠 All-in-one web-based IDE specialized for machine learning and data science.

ml_paper_notes

:book: Notes and summaries of some Machine Learning / Computer Vision / NLP papers.

mlalgorithms

Minimal and clean examples of machine learning algorithms implementations

mlblocks

A library for composing end-to-end tunable machine learning pipelines.

mlbox

MLBox is a powerful Automated Machine Learning python library.

mlcontests.github.io

A list of public machine learning/data science/AI contests.

mlf

大数据机器学习框架

mlfinlab

Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning

mlflow

Open source platform for the machine learning lifecycle

mnn

MNN is a lightweight deep neural network inference engine.

model-optimization

A suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.

model_deployment

sample model deployment code

moderngpu

Patterns and behaviors for GPU computing

modin

Modin: Speed up your Pandas workflows by changing a single line of code

mongo

The MongoDB Database

monte-carlo-tree-search

Library for running a Monte Carlo tree search, either traditionally or with expert policies

monte-carlo-tree-search-1

Monte carlo tree search in python

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