Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
-
Updated
May 17, 2024 - Python
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
Transparent and Efficient Financial Analysis
Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.
A code generator for array-based code on CPUs and GPUs
SeBS: serverless benchmarking suite for automatic performance analysis of FaaS platforms.
Analyze graph/hierarchical performance data using pandas dataframes
Advanced Profiling and Analytics for AMD Hardware
Tracing tools for ROS 2.
FPGA tool performance profiling
Project to help compare benchmark result data and system metric data provided from benchmark run.
A terminal Flamegraph viewer.
Django package to log request values such as device, IP address, user CPU time, system CPU time, No of queries, SQL time, no of cache calls, missing, setting data cache calls for a particular URL with a basic UI.
Seagate-tools stores source codes of tools such as PerfPro, PerfLine, etc. These tools are developed and used by the Engineering team to boost team productivity.
A collection of performance analysis tools, recipes, handy scripts, microbenchmarks & more
In this repository, an event-driven backtester is implemented based on QuantStart articles. The backtester is programmed in Python featuring numerous improvements, in terms of coding structure, data handling, and simple trading strategies.
Python utilities for AWS related tasks.
A micro/macro benchmark framework for the Python programming language that helps with optimizing your software.
A financial chat application powered by LangChain, OpenBB, and Claude 3 Opus.
Machine learning for machine code.
Add a description, image, and links to the performance-analysis topic page so that developers can more easily learn about it.
To associate your repository with the performance-analysis topic, visit your repo's landing page and select "manage topics."