tachikoma

Neural network serialization standard

Defines a standard for serializing neural network inference processes into a graph of operator computational traces.

neural network inference standard for zero-knowledge-proof systems

GitHub

33 stars
2 watching
2 forks
Language: Python
last commit: about 1 year ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
zk-ml/uchikoma A tool that translates neural network code into languages that can run on devices without floating-point operations. 29
zkp-gravity/0g A system for proving an inference pass for pre-trained neural networks on private inputs. 40
tamucrypto/zkcnn An implementation of a GKR-based snark for CNN model inference, providing a zero-knowledge proof protocol for neural network computations. 70
molcik/python-neuron A Python library for implementing and training various neural network architectures 40
zk-ml/research Research on integrating machine learning with emergent runtimes to improve performance and security. 22
worldcoin/proto-neural-zkp A system to verify neural networks in zero-knowledge proofs using cryptographic techniques 169
szagoruyko/binary-wide-resnet An implementation of a 1-bit weight neural network architecture using PyTorch 124
0xzkml/zk-mnist A demo project that integrates machine learning and zero-knowledge proof verification in a web application using TypeScript. 119
zhegan27/tsbn_code_nips2015 Implementing a deep learning model for sequence modeling based on motion capture and polyphonic music data 48
vsitzmann/siren An implementation of a neural network architecture for implicit function representation learning using periodic activation functions. 1,757
lyronctk/zator This project verifies the inference of a deep neural network using recursive SNARKs and leverages a folding scheme to reduce computation complexity. 156
neuralmagic/sparseml Enables the creation of smaller neural network models through efficient pruning and quantization techniques 2,071
kefirski/bytenet A Pytorch implementation of a neural network model for machine translation 47
ahmedfgad/numpyann An implementation of artificial neural networks using NumPy for building regression and classification models. 98
zk-ml/linear-regression-demo Verifies the accuracy of a private machine learning model on Ethereum using a zk-SNARK proof 213