NumPy Fundamentals ML Frameworks
Educational resources and tutorials focused on NumPy array operations, manipulation, and core concepts for scientific computing. Does NOT include broader data science libraries (Pandas, SciPy, Matplotlib) or applied ML frameworks.
There are 8 numpy fundamentals frameworks tracked. 1 score above 50 (established tier). The highest-rated is xl0/lovely-numpy at 51/100 with 72 stars.
Get all 8 projects as JSON
curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=numpy-fundamentals&limit=20"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
xl0/lovely-numpy
NumPy arrays, ready for human consumption |
|
Established |
| 2 |
Akash-9794/numpy-100-challenges
Learning NumPy for ML? This repo takes you from absolute basics to ML-level... |
|
Experimental |
| 3 |
somayajulukrishna020-lang/numpy-documentation
A structured, hands-on guide to NumPy — the foundation of numerical... |
|
Experimental |
| 4 |
Emmanuel10701/Numpy
Numpy |
|
Experimental |
| 5 |
25f2005869-glitch/NumPy-For-Data-Science
NumPy learning repository with step-by-step practice, array operations,... |
|
Experimental |
| 6 |
DenshellDenejour/AI_with_Numpy
Numpy is a library of Python as Keras, Jupyter, Tkinter or Matpolib |
|
Experimental |
| 7 |
rtgrt5645/numpy-lab
🧮 Explore, manipulate, and visualize data with NumPy to enhance your Python... |
|
Experimental |
| 8 |
shafaq-aslam/numpy-lab
A structured collection of Jupyter notebooks exploring NumPy from the ground... |
|
Experimental |