FuzzBench - Fuzzer benchmarking as a service.
-
Updated
May 2, 2024 - Python
FuzzBench - Fuzzer benchmarking as a service.
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
Long-Term Evolution Project of Reinforcement Learning
[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark
BenchExec: A Framework for Reliable Benchmarking and Resource Measurement
🦜💯 Flex those feathers!
Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures
A micro/macro benchmark framework for the Python programming language that helps with optimizing your software.
Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
wake word engine benchmark framework
SeBS: serverless benchmarking suite for automatic performance analysis of FaaS platforms.
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art", where we implement and evaluate several state-of-the-art approaches, ranging from handcrafted-based methods to convolutional neural networks.
Cloud Rapid Experimentation and Analysis Toolkit
Generate performance reports from your django database performance tests.
CaRB - A Crowdsourced Benchmark for Open IE
Comprehensive evaluation framework for Open Information Extraction.
Benchmarks for data processing systems: Pathway, Spark, Flink, Kafka Streams
Implements the [TPCH benchmark](http://www.tpc.org/tpch/) for Postgres
[Read-Only Mirror] Benchmarking Toolkit for Time Series Anomaly Detection Algorithms using TimeEval and GutenTAG
Add a description, image, and links to the benchmark-framework topic page so that developers can more easily learn about it.
To associate your repository with the benchmark-framework topic, visit your repo's landing page and select "manage topics."