inference-labs-inc/JSTprove
JSTprove is a Rust tool that generates zero-knowledge proofs of machine learning inference on ONNX models.
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JSTprove produces zero-knowledge proofs for ONNX model inference, built on Polyhedra Network’s Expander prover (GKR/sum-check) and the Expander Compiler Collection. It supports a set of common ONNX operators such as Conv, Gemm, BatchNormalization, MaxPool, and ReLU, and ships a CLI for running proofs, with a LeNet demo and an accompanying white paper.
Frequently asked
- What is inference-labs-inc/JSTprove?
- JSTprove is a Rust tool that generates zero-knowledge proofs of machine learning inference on ONNX models.
- Is JSTprove open source?
- Yes — inference-labs-inc/JSTprove is an open-source project tracked on heatdrop.
- What language is JSTprove written in?
- inference-labs-inc/JSTprove is primarily written in Rust.
- How popular is JSTprove?
- inference-labs-inc/JSTprove has 1.3k stars on GitHub.
- Where can I find JSTprove?
- inference-labs-inc/JSTprove is on GitHub at https://github.com/inference-labs-inc/JSTprove.