550 Open source projects that are alternatives of or similar to Automlbenchmark

lzbench is an in-memory benchmark of open-source LZ77/LZSS/LZMA compressors

Java and Kotlin Code samples used on cloud.google.com

NoSQL Redis and Memcache traffic generation and benchmarking tool.

C++ benchmark tool. Practical, stable and fast performance testing framework.

How to store 11kk items in memory? Comparison of methods: array vs object vs SplFixedArray vs pack vs swoole_table vs swoole_pack vs redis vs memsql vs node.js arrays in php7

java rpc benchmark, 灵感源自 https://www.techempower.com/benchmarks/

Performance testing matchers for RSpec

A blockchain benchmark framework to measure performance of multiple blockchain solutions https://wiki.hyperledger.org/display/caliper

Vulkan benchmark

Naive performance comparison of a few programming languages (JavaScript, Kotlin, Rust, Swift, Nim, Python, Go, Haskell, D, C++, Java, C#, Object Pascal, Ada, Lua, Ruby)

SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas

🔥 Stupid Simple CPU/MEM "Profiler" for your JS code.

XRAutomatedTests is where you can find functional, graphics, performance, and other types of automated tests for your XR Unity development.

SMAC: The StarCraft Multi-Agent Challenge

Benchmarking State-of-the-Art Deep Learning Software Tools

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Latency Benchmarking tool

Python Performance Benchmark Suite

🔥Urban-scale point cloud dataset (CVPR 2021)

This is a simple App to test some blur algorithms on their visual quality and performance.

Assorted java classes that make use of sun.misc.Unsafe

Benchmarks of JavaScript Package Managers

⚡️ Performance Comparison of Jax-RS implementations and embedded containers

Predictive AI layer for existing databases.

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

State-of-the art Automated Machine Learning python library for Tabular Data

Your benchmark assistant, written in Go.

Efficient Learning of Augmentation Policy Schedules

The PatchCamelyon (PCam) deep learning classification benchmark.

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

Across the Great Wall we can reach every corner in the world

Program to benchmark various speech recognition APIs

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Generate benchmarks for terminal emulators

Fast and flexible AutoML with learning guarantees.

Application Performance Optimization Summary

ZazuML - easy AutoML for Object Detection

C++ Binary Fixed-Point Arithmetic

Differentiable architecture search for convolutional and recurrent networks

The benchmark of ncnn that is a high-performance neural network inference framework optimized for the mobile platform

Benchmark the performances of various Swift layout frameworks (autolayout, UIStackView, PinLayout, LayoutKit, FlexLayout, Yoga, ...)

A GPU benchmark tool for evaluating GPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL)

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Modern C++ benchmarking

A benchmarking framework for the Julia language

Ergonomic machine learning for everyone.

A repository of pretty cool datasets that I collected for network science and machine learning research.

基于Python Tornado的高性能http性能测试工具。Java Netty版: https://github.com/junneyang/http-benchmark-netty 。

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

A fast and lightweight AutoML library.

LAMA - automatic model creation framework

Library for Semi-Automated Data Science

Distributed DAG (Directed acyclic graph) framework for machine learning with UI

A specially designed light version of Fast AutoAugment

Kotlin multiplatform benchmarking toolkit

A MNIST-like fashion product database. Benchmark 👇

a distributed Hyperband implementation on Steroids