Popular GitHub Repositories for Amsi Patch

JavaScript 对象的差异比较与修补

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256KB Memory

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Python library for YOLO small object detection and instance segmentation

This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.

Download Voicemod Pro - Real-Time Voice Changer & Soundboard with AI Effects for Streaming, Gaming, and Content Creation in 2025

My implementation of "Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution"

The official implementation of "Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs"

[WACV2025] AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2

Repilot, a patch generation tool introduced in the ESEC/FSE'23 paper "Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair"

This is an official implementation of the paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval" (Accepted by IEEE TIP)

A simple CLI and TUI driven application that offers patch reporting for remote unix systems, written in Python

Official Implementation of PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation

Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.

TriDepth: Triangular Patch-based Deep Depth Prediction [Kaneko+, ICCVW2019(oral)]

这是CVPR 2025论文“ID-Patch：用于群体照片个性化的鲁棒身份关联”的官方实现。这项工作提出了ID-Patch，这是一种快速且鲁棒的方法，它通过视觉块和嵌入将身份特征与二维位置关联起来。

PyTorch reimplementation of FlexiViT: One Model for All Patch Sizes

A Detection Toolbox for Tensorflow2

The official implementation of "Asymmetric Patch Sampling for Contrastive Learning"