How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
Model analyzer in PyTorch
The main features of swall0w/torchstat are: Data and Graph Processing, Developer Tools, PyTorch Utilities.
Open-source alternatives to swall0w/torchstat include: perone/euclidesdb — A multi-model machine learning feature embedding database. cvxgrp/cvxpylayers — CVXPYlayers is a Python library for constructing differentiable convex optimization layers in PyTorch, JAX, and MLX… bharathgs/nalu. aiqm/torchani — TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network… bachili/redner — Differentiable rendering without approximation. ag14774/diffdist.
CVXPYlayers is a Python library for constructing differentiable convex optimization layers in PyTorch, JAX, and MLX using CVXPY. A convex optimization layer solves a parametrized convex optimization problem in the forward pass to produce a solution. It computes the derivative of the solution…
