attentionmech/tensorlens
aesthetic tensor visualiser
TensorLens helps machine learning practitioners visually inspect the internal workings of their models. It takes in numerical data representing model weights, activations, or other tensor data, and outputs an interactive visual representation. This tool is ideal for researchers, data scientists, and ML engineers who need to understand how their neural networks are processing information.
No commits in the last 6 months.
Use this if you need to quickly and interactively visualize 1D, 2D, or 3D numerical data within your machine learning models to debug or gain insights.
Not ideal if you need to visualize tensors with more than three dimensions or require highly specialized, domain-specific visualization techniques.
Stars
27
Forks
1
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Apr 23, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/attentionmech/tensorlens"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
pymc-devs/pytensor
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions...
arogozhnikov/einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
lava-nc/lava-dl
Deep Learning library for Lava
tensorly/tensorly
TensorLy: Tensor Learning in Python.
tensorpack/tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility