A machine learning library for detecting anomalies in signals.
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Updated
Jun 8, 2024 - Python
A machine learning library for detecting anomalies in signals.
Write scalable load tests in plain Python 🚗💨
BenchExec: A Framework for Reliable Benchmarking and Resource Measurement
Clone Recognizer Comparator platform
BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS
Perun is a Python package that measures the energy consumption of you applications.
FuzzBench - Fuzzer benchmarking as a service.
MLOS is a project to enable autotuning for systems.
Energy Forecast Benchmark Toolkit is a Python project that aims to provide common tools to benchmark forecast models.
Python decorator for precise measurement of function execution time.
Python decorator for comprehensive monitoring of CPU, RAM, and I/O usage of functions.
A platform that enables users to perform private benchmarking of machine learning models. The platform facilitates the evaluation of models based on different trust levels between the model owners and the dataset owners.
Moonshot - A simple and modular tool to evaluate and red-team any LLM application.
SeBS: serverless benchmarking suite for automatic performance analysis of FaaS platforms.
Cloud Rapid Experimentation and Analysis Toolkit
A Large-Scale Company Relation Graph for Investment Industry
A powerful Python framework for writing and running portable regression tests and benchmarks for HPC systems.
Formalizing and benchmarking open problems in single-cell genomics
Benchmarking Large Language Models
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