Alternatives and similar repositories for mlwpy_code

Users that are interested in mlwpy_code are comparing it to the libraries listed below

• giangtranml / ml-from-scratch
  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.
  ☆219Updated 2 years ago
• PacktPublishing / Advanced-Python-Programming-Second-Edition
  Advanced Python Programming, Second Edition, published by Packt
  ☆146Updated 2 years ago
• PacktWorkshops / The-Statistics-and-Calculus-with-Python-Workshop
  ☆148Updated last year
• PacktPublishing / Applying-Math-with-Python
  Math with Python Cookbook, Published by Packt
  ☆78Updated 2 years ago
• tiepvupsu / ebookML_src
  Source code in ebook Machine Learning
  ☆179Updated 7 years ago
• PacktPublishing / Python-Image-Processing-Cookbook
  ☆169Updated last week
• PacktPublishing / PyTorch-Artificial-Intelligence-Fundamentals
  PyTorch Artificial Intelligence Fundamentals, published by Packt
  ☆26Updated 2 years ago
• phamdinhkhanh / deepai-book
  ☆114Updated 2 years ago
• kinokoberuji / Statistics-Python-Tutorials
  ☆32Updated 3 years ago
• PacktPublishing / The-Machine-Learning-Solutions-Architect-Handbook
  The Machine Learning Solutions Architect Handbook, published by Packt
  ☆145Updated this week
• PacktPublishing / Mastering-Machine-Learning-Algorithms
  Mastering Machine Learning Algorithms, published by Packt
  ☆66Updated 4 months ago
• PacktPublishing / Deep-Learning-with-fastai-Cookbook
  Deep Learning with fastai Cookbook, published by Packt
  ☆59Updated this week
• PacktPublishing / Hands-On-Python-Natural-Language-Processing
  ☆86Updated 2 years ago
• PacktPublishing / Building-Data-Science-Applications-with-FastAPI-Second-Edition
  ☆95Updated this week
• PacktPublishing / Mastering-Unsupervised-learning-with-Python
  Code Repository for Mastering Unsupervised learning with Python, Published by Packt
  ☆27Updated 2 years ago
• PacktPublishing / Machine-Learning-with-Real-World-Projects
  Code Repository for Machine Learning with Real World Projects, Published by Packt
  ☆49Updated 2 years ago
• PacktPublishing / Deep-Learning-for-Beginners
  Deep Learning for Beginners, published by Packt
  ☆56Updated this week
• DataForScience / DeepLearning
  Deep Learning From Scratch
  ☆139Updated 2 years ago
• PacktPublishing / Hands-On-Data-Structures-and-Algorithms-with-Python-Third-Edition
  Data Structures and Algorithms with Python – Third Edition
  ☆141Updated last year
• PacktPublishing / Mastering-Machine-Learning-Algorithms-Second-Edition
  Mastering Machine Learning Algorithms Second Edition, published by Packt
  ☆63Updated 4 years ago
• PacktPublishing / Mastering-Object-Oriented-Python-Second-Edition
  Mastering Object-Oriented Python - Second Edition, published by Packt
  ☆155Updated 2 years ago
• PacktPublishing / Hands-On-GPU-Computing-with-Python
  Hands-On GPU Computing with Python, published by Packt
  ☆29Updated 2 years ago
• PacktPublishing / Hands-On-Natural-Language-Processing-with-Python
  Hands On Natural Language Processing with Python, published by Packt
  ☆169Updated 2 years ago
• PacktPublishing / The-Python-Workshop-Second-Edition
  The Python Workshop - Second Edition, published by Packt
  ☆66Updated 6 months ago
• PacktPublishing / Hands-On-Simulation-Modeling-with-Python-Second-Edition
  Hands-On Simulation Modeling with Python, Second Edition, published by Packt
  ☆31Updated 4 months ago
• phamdinhkhanh / SQLCode
  ☆155Updated 3 years ago
• PacktPublishing / Learn-Python-by-Building-Data-Science-Applications
  Learn Python by Building Data Science Applications, published by Packt
  ☆98Updated last year
• PacktPublishing / Statistical-Methods---Applied-Mathematics-in-Data-Science
  Statistical Methods & Applied Mathematics in Data Science, Published by Packt
  ☆28Updated 4 years ago
• PacktPublishing / Mastering-Numerical-Computing-with-NumPy
  Mastering Numerical Computing with NumPy, published by Packt
  ☆28Updated 2 years ago
• PacktWorkshops / The-Deep-Learning-with-Keras-Workshop
  An Interactive Approach to Understanding Deep Learning with Keras
  ☆51Updated this week