Alternatives and similar repositories for awesome-production-machine-learning:

Users that are interested in awesome-production-machine-learning are comparing it to the libraries listed below

• visenger / awesome-mlops
  A curated list of references for MLOps
  ☆12,751Updated last month
• kelvins / awesome-mlops
  A curated list of awesome MLOps tools
  ☆4,237Updated last month
• chiphuyen / machine-learning-systems-design
  A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
  ☆9,260Updated last year
• zenml-io / zenml
  ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
  ☆4,318Updated this week
• alirezadir / Production-Level-Deep-Learning
  A guideline for building practical production-level deep learning systems to be deployed in real world applications.
  ☆4,392Updated last year
• evidentlyai / evidently
  Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…
  ☆5,612Updated this week
• EthicalML / awesome-artificial-intelligence-regulation
  This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and b…
  ☆1,287Updated 2 weeks ago
• keon / awesome-nlp
  A curated list of resources dedicated to Natural Language Processing (NLP)
  ☆16,892Updated last year
• mlflow / mlflow
  Open source platform for the machine learning lifecycle
  ☆19,253Updated this week
• bentoml / BentoML
  The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
  ☆7,274Updated this week
• Netflix / metaflow
  Open Source AI/ML Platform
  ☆8,446Updated this week
• jphall663 / awesome-machine-learning-interpretability
  A curated list of awesome responsible machine learning resources.
  ☆3,703Updated last week
• marcotcr / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆11,704Updated 5 months ago
• firmai / industry-machine-learning
  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
  ☆7,287Updated 3 months ago
• iterative / dvc
  🦉 Data Versioning and ML Experiments
  ☆14,088Updated this week
• ahkarami / Deep-Learning-in-Production
  In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
  ☆4,318Updated 2 months ago
• ritchieng / the-incredible-pytorch
  The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
  ☆11,633Updated last week
• cortexlabs / cortex
  Production infrastructure for machine learning at scale
  ☆8,022Updated 7 months ago
• graviraja / MLOps-Basics
  ☆6,157Updated 3 months ago
• microsoft / hummingbird
  Hummingbird compiles trained ML models into tensor computation for faster inference.
  ☆3,372Updated last week
• eugeneyan / applied-ml
  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
  ☆27,540Updated 5 months ago
• ujjwalkarn / Machine-Learning-Tutorials
  machine learning and deep learning tutorials, articles and other resources
  ☆15,762Updated 7 months ago
• GokuMohandas / mlops-course
  Learn how to design, develop, deploy and iterate on production-grade ML applications.
  ☆3,014Updated 5 months ago
• josephmisiti / awesome-machine-learning
  A curated list of awesome Machine Learning frameworks, libraries and software.
  ☆66,632Updated last month
• pycaret / pycaret
  An open-source, low-code machine learning library in Python
  ☆9,075Updated this week
• academic / awesome-datascience
  An awesome Data Science repository to learn and apply for real world problems.
  ☆25,512Updated this week
• mljar / mljar-supervised
  Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
  ☆3,090Updated this week
• eugeneyan / ml-surveys
  📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
  ☆2,835Updated last year
• cleanlab / cleanlab
  The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
  ☆10,056Updated last week
• kmario23 / deep-learning-drizzle
  Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…
  ☆12,433Updated 2 months ago