630 Open source projects that are alternatives of or similar to scRNAseq_cell_cluster_labeling

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

Data package for accessing GeoDa datasets using R

Pantheon of Congestion Control

Papers, Datasets, Algorithms, SOTA for STR. Long-time Maintaining

Transfer Learning Shootout for PyTorch's model zoo (torchvision)

SIXray : A Large-scale Security Inspection X-ray Benchmark in CVPR 2019

UI Benchmark

R library for data.world

Make Dota 2 fps great again

Deep Learning based cell composition analysis with Scaden.

BLUE benchmark consists of five different biomedicine text-mining tasks with ten corpora.

Launched in March 2020 in response to the coronavirus disease 2019 (COVID-19) pandemic, COVID-Net is a global open source, open access initiative dedicated to accelerating advancement in machine learning to aid front-line healthcare workers and clinical institutions around the world fighting the continuing pandemic. Towards this goal, our global…

Chinese Biomedical Language Understanding Evaluation benchmark (ChineseBLUE)

Command-line DNS benchmark

PHP ORM Benchmark

SB(SRS Bench) is a benchmark tool for HTTP-FLV, RTMP, HLS and WebRTC.

A simple framework for compile-time benchmarks

All-in-one analysis pipeline

Statistics-driven benchmarking library for Rust

JMH benchmark of Java object-to-object mapping frameworks

Comparison tools

Functional data science

Benchmark Kubernetes persistent disk volumes with fio: Read/write IOPS, bandwidth MB/s and latency

TurboRLE-Fastest Run Length Encoding

Kotlin multiplatform benchmarking toolkit

A curated list of datasets, publically available for machine learning research in the area of manufacturing

🔥Urban-scale point cloud dataset (CVPR 2021)

A universal flight control tuning framework

benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.

A modern http(s) benchmark tool

A gatling plugin for running load tests on Apache Dubbo(https://github.com/apache/incubator-dubbo) and other java ecosystem.

Python & Matlab code for local feature descriptor evaluation with the HPatches dataset.

A research data management plugin for the Git version control system.

performance benchmark infrastructure for IPLD DAGs

CoinSummer实验室Filecoin资源分享。

Meter - is a simple micro-benchmarking tool for Android (and Java) projects. This is not a profiler, this is very small utility class that designed for making benchmarking easy. Nothing more. Alternative to Android Jetpack Benchmark.

Official repository of Learning Multi-Human Optical Flow (IJCV 2019)

Windows, macOS and Android storage (HDD, SSD, RAM) speed testing/performance benchmarking app

A lightweight, scalable, and general framework for visual question answering research

A python package for scraping oddsportal.com

Benchmark Comparison of Packages with Runtime Validation and TypeScript Support

Blue Team Scripts

Fully-featured benchmark driver for Ruby 3x3

Information of public available data sets for biomechanics.

Volley is a benchmarking tool for measuring the performance of server networking stacks.

Benchmarks of approximate nearest neighbor libraries in Python

Benchmark of open source, embedded, memory-mapped, key-value stores available from Java (JMH)

CellRank for directed single-cell fate mapping

A modular toolbox for meta-learning research with a focus on speed and reproducibility.

comparing the performance of different template engines

BenchExec: A Framework for Reliable Benchmarking and Resource Measurement

R package to visualize gene expression data based on weighted kernel density estimation

Tsung is a high-performance benchmark framework for various protocols including HTTP, XMPP, LDAP, etc.

Visually explore your JMH Benchmarks

QASMBench is an OpenQASM benchmark suite running on IBM Quantum-Experience backends.

⌛ Benchmark and visualization of various compression algorithms

Machine Learning eXchange (MLX). Data and AI Assets Catalog and Execution Engine

A Curated List of Computational Biology Datasets Suitable for Machine Learning

A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work