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mistral-src

Reference implementation of Mistral AI 7B v0.1 model.

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

mitmproxy

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

mkdocs-material

Documentation that simply works

mkdocstrings

:blue_book: Automatic documentation from sources, for MkDocs.

ml-course-notes

🎓 Sharing course notes on all topics related to machine learning, NLP, and AI.

ml-design-docs

📄 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)

ml-in-containers

ml-interviews-book

https://huyenchip.com/ml-interviews-book/

ml-metadata

For recording and retrieving metadata associated with ML developer and data scientist workflows.

ml-monitoring

A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.

ml-ops

Get your MLOps (Level 1) platform started and going fast.

ml-papers-explained

Explanation to key concepts in ML

ml-pipeline-engineering

Best practices for engineering ML pipelines.

ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

ml-university

Machine Learning Open Source University

mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

mlc-llm

Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.

mlcourse

Machine learning course materials.

mlcourse.ai

Open Machine Learning Course

mlcube

MLCube™ is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.

mle-flashcards

200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.

mleap

MLeap: Deploy ML Pipelines to Production

mlem

🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞

mlflow-kernel

mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

mlnotify

🔔 No need to keep checking your training - just one import line and you'll know the second it's done.

mlops

A project-based course on the foundations of MLOps with a focus on intuition and application.

mlops-basics

mlops-python-package

Kickstart your MLOps initiative with a flexible, robust, and productive Python package.