google/TensorNetwork

Health v2 · maintenance only

Flags: archived

Adoption not part of the score

1870 stars · 361 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

TensorNetwork is a Python library for building and contracting tensor networks, with backends for TensorFlow, JAX, PyTorch, and NumPy. It provides a high-level API for tensor manipulation aimed at physics simulations and machine learning research.

Use cases

• contract tensor networks efficiently
• simulate quantum many-body systems with matrix product states
• build tensor network layers inside neural networks with Keras
• perform SVD-based tensor splitting and truncation
• run tensor calculations on GPU via TensorFlow, JAX, or PyTorch backends

When to choose

• you need a backend-agnostic tensor network API across TensorFlow, JAX, PyTorch, and NumPy
• you're doing computational physics research involving tensor network contractions
• you want to integrate tensor network layers into machine learning models

When to avoid

• you need a general-purpose deep learning framework rather than tensor network operations
• you require frequent updates and active development, as the project's release cadence has slowed
• you need production ML tooling rather than research-grade numerical code

Facets

library · maturity maintenance

machine-learning math sdk machine-learning gpu-computing python cross-platform tensor-networks matrix-product-states tensorflow jax pytorch numpy quantum-physics tensor-contraction physics algorithms gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google/TensorNetwork")