2 repository-uri
Awesome GitHub RepositoriesHardware Resource Profilers
Tools that collect comprehensive CPU, GPU, and memory performance data during execution.
Distinct from GPU Performance Profilers: Combines CPU and GPU profiling into a unified operation view, whereas the sibling focuses only on GPU throughput
Explore 2 awesome GitHub repositories matching testing & quality assurance · Hardware Resource Profilers. Refine with filters or upvote what's useful.
Awesome Hardware Resource Profilers GitHub Repositories
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- vladmandic/sdnext
vladmandic/sdnext
7,139Vezi pe GitHubSD.Next is an all-in-one web interface and multi-backend inference engine for generating, editing, and processing images and videos using diffusion models. It functions as a comprehensive tool for diffusion model management and an automated image processing pipeline for bulk operations. The project is distinguished by its hardware-backend abstraction layer, which provides automatic detection and acceleration for NVIDIA CUDA, AMD ROCm, Intel OpenVINO, and DirectML. It features a headless generative API and a programmatic command interface, allowing users to trigger tasks via REST API or CLI wi
Collects detailed CPU, GPU, and memory profiling data to identify performance bottlenecks during generation tasks.
Pythonai-artcaptiondiffusers - deepops-ai/deepops
deepops-ai/deepops
3,965Vezi pe GitHubDeepOps is a full-stack observability platform and application performance monitoring tool. It serves as a distributed service observability suite designed to track response times, resource usage, and service health across diverse infrastructure layers. The platform functions as a cross-stack telemetry aggregator, unifying metrics and logs into a single data stream. It incorporates a heuristic anomaly detection system that analyzes performance baselines to identify statistical outliers and predict operational failures. The system covers a broad range of monitoring capabilities, including rea
Monitors hardware and software consumption to correlate resource exhaustion with application performance drops.
TypeScriptapmjaegerobservability
