r/MachineLearning
7/5/2026
![I built a open source neural network shape validator [P]](https://preview.redd.it/1c6x0ugqzcbh1.jpeg?width=640&crop=smart&auto=webp&s=2d17e9599717c4e79b4a2243573ecb9da31241d7)
I built a open source neural network shape validator [P]
Short summary
Visual editor for validating neural network tensor shapes and parameter counts before GPU execution. Catches incompatible layers, estimates FLOP usage, and exports verified PyTorch code—63 ops with proper shape inference. MIT-licensed open source at tensey.vercel.app.
- •Visual editor catches tensor shape mismatches and estimates GPU memory/FLOP costs upfront
- •Exports verified PyTorch code and supports 63 different operations
- •Open source (MIT) at tensey.vercel.app with code at github.com/aarocy/tensey
Generated with AI, which can make mistakes.
Is this a good recommendation for you?



