Popular GitHub Repositories for Verify

Android on_device 1:1 Face Recognition 、 Liveness detection and 1:N & M:N Face Search SDK ? 离线版设备端Android1:1人脸识别 动作活体、静默活体、近红外双目活体检测 以及1:N M:N 人脸搜索算法SDK 封装。全程可开飞行模式不用联网

Android On_device 1:1 Face Recognition 、 Liveness detection and 1:N & M:N Face Search SDK ? 离线版设备端Android1:1人脸识别 动作活体、静默活体、近红外双目活体检测 以及1:N M:N 人脸搜索算法SDK 封装。全程可开飞行模式不用联网

This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.

Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.

EVM AI Agent that helps users execute transactions, deploy and verify contracts, check wallet balance, and more - all on EVM compatible chains via friendly, chat-based interaction.

Verify the authenticity of handwritten signatures through digital image processing and neural networks. ??

A CLI tool for localization resource management on Xcode. Built with Google Translator.

xVerify: Efficient Answer Verifier for Large Language Model Evaluations

MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.

Proof of concept of a mixed reality application for the Microsoft HoloLens 2 integrating object recognition using cloud computing and real-time on-device markerless object tracking. The augmented objects provide interaction using hand input, eye-gaze, and voice commands to verify the tracking result visually.

VerifAI initiative to build open-source easy-to-deploy generative question-answering engine that can reference and verify answers for correctness (using posteriori model)

A utility to inspect, validate, sign and verify machine learning model files.

VeriThinker: Learning to Verify Makes Reasoning Model Efficient

"A neural network to rule them all, a neural network to find them, a neural network to bring them all and verify if is you !!" (Face recognition tool)

IFAKE is an application for detecting image and video forgery, designed to help users verify the authenticity of digital media. This repository also contains the AI model and dataset that we developed for image tampering detection, providing an effective solution for detecting image and video manipulations.

A lightweight Python package for setting up adversarial robustness experiments and to compute robustness distributions. Standalone package implemets adversarial attacks. Can be extended with the ada-auto-verify plugin to enable complete verification.

Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradients. To achieve robustness to users dropping out, existing practical privacy-preserving federated learning schemes are based on (t, N)-threshold secret sharing. Such schemes rely on a strong assumption to guarantee security: the threshold t must be greater than half of the number of users. The assumption is so rigorous that in some scenarios the schemes may not be appropriate. Motivated by the issue, we first introduce membership proof for federated learning, which leverages cryptographic accumulators to generate membership proofs by accumulating users IDs. The proofs are issued in a public blockchain for users to verify. With membership proof, we propose a privacy-preserving federated learning

VeriFy - neural network for fast and lightweight scam detection.

Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.

?? Video Fact Finder for YouTube, using CrewAI agents and Perplexity to verify facts.