Alternatives and similar repositories for industry-machine-learning:

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

• FavioVazquez / ds-cheatsheets
  List of Data Science Cheatsheets to rule the world
  ☆14,863Updated 6 months ago
• 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
• r0f1 / datascience
  Curated list of Python resources for data science.
  ☆4,299Updated this week
• 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
• rushter / MLAlgorithms
  Minimal and clean examples of machine learning algorithms implementations
  ☆10,770Updated last year
• rasbt / python-machine-learning-book-2nd-edition
  The "Python Machine Learning (2nd edition)" book code repository and info resource
  ☆7,144Updated 4 years ago
• 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
• kojino / 120-Data-Science-Interview-Questions
  Answers to 120 commonly asked data science interview questions.
  ☆3,749Updated 11 months ago
• trekhleb / homemade-machine-learning
  🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
  ☆23,234Updated 2 months ago
• donnemartin / data-science-ipython-notebooks
  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…
  ☆27,724Updated 9 months ago
• GokuMohandas / Made-With-ML
  Learn how to design, develop, deploy and iterate on production-grade ML applications.
  ☆37,974Updated 5 months ago
• rasbt / python-machine-learning-book
  The "Python Machine Learning (1st edition)" book code repository and info resource
  ☆12,332Updated last month
• ageron / handson-ml
  ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
  ☆25,252Updated last year
• alexeygrigorev / data-science-interviews
  Data science interview questions and answers
  ☆9,090Updated 4 months ago
• ujjwalkarn / Machine-Learning-Tutorials
  machine learning and deep learning tutorials, articles and other resources
  ☆15,762Updated 7 months ago
• visenger / awesome-mlops
  A curated list of references for MLOps
  ☆12,751Updated last month
• academic / awesome-datascience
  An awesome Data Science repository to learn and apply for real world problems.
  ☆25,512Updated this week
• fastai / numerical-linear-algebra
  Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
  ☆10,328Updated 9 months ago
• bfortuner / ml-glossary
  Machine learning glossary
  ☆3,034Updated 5 months ago
• EthicalML / awesome-production-machine-learning
  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
  ☆17,830Updated 2 weeks ago
• 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
• drivendataorg / cookiecutter-data-science
  A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
  ☆8,490Updated this week
• eugeneyan / applied-ml
  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
  ☆27,540Updated 5 months ago
• rushter / data-science-blogs
  A curated list of data science blogs
  ☆6,336Updated 7 months ago
• dive-into-machine-learning / dive-into-machine-learning
  Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
  ☆11,286Updated 2 years ago
• norvig / pytudes
  Python programs, usually short, of considerable difficulty, to perfect particular skills.
  ☆23,248Updated 2 weeks ago
• iamtodor / data-science-interview-questions-and-answers
  Data science interview questions with answers. Not ideally (yet)
  ☆1,587Updated 2 years ago
• microsoft / nlp-recipes
  Natural Language Processing Best Practices & Examples
  ☆6,386Updated 2 years ago
• ml874 / Data-Science-Cheatsheet
  ☆2,548Updated 2 years ago
• firmai / business-machine-learning
  A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employ…
  ☆774Updated 3 months ago