Awesome GitHub RepositoriesGPU Process Analysis

nvtop 是一个基于终端的仪表板，用于监控多个图形处理器和硬件加速器的性能、内存使用率和温度。它作为一个集中式管理工具，用于跟踪单个系统上多个设备的健康状况和计算负载。 该工具通过将系统进程 ID 与硬件资源消耗相关联而脱颖而出，允许用户识别消耗 GPU 资源的特定应用程序。它采用与供应商无关的抽象层，在单个界面中支持来自不同制造商的硬件。 该软件使用基于文本的界面提供实时性能指标和按进程的资源归属。用户可以管理界面布局并通过本地配置文件保存显示偏好，以在会话间保持设置。

This project is a comprehensive collection of educational examples and reference implementations for building vision and language models using PyTorch. It serves as a deep learning tutorial covering the end-to-end process of developing neural networks, from initial architecture definition to final production deployment. The repository provides detailed guides on implementing a wide range of domain-specific models, including convolutional neural networks for object detection and segmentation, as well as transformer and recurrent architectures for natural language processing. It emphasizes gene

capa is a binary capability scanner that identifies high-level behaviors and actions an executable can perform, such as network communication or file manipulation. It functions as a malware behavior analysis tool and a MITRE ATT&CK mapping framework, scanning PE, ELF, .NET, and shellcode files through both static analysis and dynamic sandbox report processing. The tool distinguishes itself through a YAML-based detection rule engine that defines detection logic in human-readable files, with conditions expressed as feature combinations and logical operators. It integrates with IDA Pro, Ghidra,