Search Results for "benchmark software" - Page 3
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Showing 142 open source projects for "benchmark software"
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UVU
UVU is an extremely fast and lightweight test runner for Node.js
UVU is a lightweight, ultra-fast JavaScript test runner for Node.js and the browser created by Luke Edwards (lukeed). Its primary goal is to minimize overhead: startup time, memory usage, and complexity are all kept very low so that developers can write and run tests with minimal friction. The tool supports modern features like async/await and native ES Modules, making it suitable for modern codebases. It also supports running in browser environments, which makes it versatile for frontend... -
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CountBitsSet
minimal benchmark code for Counting Set Bits (ones) in an Integer
I was curious how much better the Algorithms, pointed out by BitTwiddling Hacks, perform than a simple Lookup Table approach... Now I think, perhaps my little investigation is interesting for others too... PS: the parallel counting Algo is about 35% faster on average on my computers than a simple LUT based solution. Also this shows nicely how different a human brain compatible solution is to a binary machine optimal solution :-) In the meantime I added other Algorithms beside... -
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Specter
Clojure(Script)'s missing piece
Specter is a powerful Clojure (and ClojureScript) library that revolutionizes navigation and manipulation of deeply nested and recursive data structures through a flexible, high-performance API beyond what vanilla Clojure offers. Specter has an extremely simple core, just a single abstraction called "navigator". Queries and transforms are done by composing navigators into a "path" precisely targeting what you want to retrieve or change. Navigators can be composed with any other navigators,... -
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Jour is designed to simplify the use of Javassist for processing multiple classes. In short Jour is simple Aspect Oriented Programming AOP framework on top of Javassist.
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Detectron2
Next-generation platform for object detection and segmentation
Detectron2 is Facebook AI Research's next generation software system that implements state-of-the-art object detection algorithms. It is a ground-up rewrite of the previous version, Detectron, and it originates from maskrcnn-benchmark. It is powered by the PyTorch deep learning framework. Includes more features such as panoptic segmentation, Densepose, Cascade R-CNN, rotated bounding boxes, PointRend, DeepLab, etc. -
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DockStream
A Docking Wrapper to Enhance De Novo Molecular Design
DockStream is a docking wrapper providing access to a collection of ligand embedders and docking backends. Docking execution and post hoc analysis can be automated via the benchmarking and analysis workflow. The flexilibity to specifiy a large variety of docking configurations allows tailored protocols for diverse end applications. DockStream can also parallelize docking across CPU cores, increasing throughput. DockStream is integrated with the de novo design platform, REINVENT, allowing one... -
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CalDOM
An agnostic, reactive & minimalist (3kb) JavaScript UI library
An agnostic, reactive & minimalist (3kb) JavaScript UI library with direct access to native DOM. Instead of pulling you into a library-specific magical world, CalDOM let you fully access the DOM directly while keeping the reactivity. So you could take full advantage of native APIs & mix it with other libraries to gain superior performance & flexibility in the development process. In essence, CalDOM is just a wrapper around the native Node/Element. The overall performance drop is about 0.04x... -
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Behaviour Suite Reinforcement Learning
bsuite is a collection of carefully-designed experiments
bsuite is a research framework developed by Google DeepMind that provides a comprehensive collection of experiments for evaluating the core capabilities of reinforcement learning (RL) agents. Its main goal is to identify, measure, and analyze fundamental aspects of learning efficiency and generalization in RL algorithms. The library enables researchers to benchmark their agents on standardized tasks, facilitating reproducible and transparent comparisons across different approaches. Each... -
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Awesome Graph Classification
Graph embedding, classification and representation learning papers
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations. Relevant graph classification benchmark datasets are available. Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations. -
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gradslam
gradslam is an open source differentiable dense SLAM library
gradslam is an open-source framework providing differentiable building blocks for simultaneous localization and mapping (SLAM) systems. We enable the usage of dense SLAM subsystems from the comfort of PyTorch. The question of “representation” is central in the context of dense simultaneous localization and mapping (SLAM). Newer learning-based approaches have the potential to leverage data or task performance to directly inform the choice of representation. However, learning representations... -
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Sparse Attention
"Generating Long Sequences with Sparse Transformers" examples
Sparse Attention is OpenAI’s code release for the Sparse Transformer model, introduced in the paper Generating Long Sequences with Sparse Transformers. It explores how modifying the self-attention mechanism with sparse patterns can reduce the quadratic scaling of standard transformers, making it possible to model much longer sequences efficiently. The repository provides implementations of sparse attention layers, training code, and evaluation scripts for benchmark datasets. It highlights... -
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sysbench
Scriptable database and system performance benchmark
sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. It is most frequently used for database benchmarks, but can also be used to create arbitrarily complex workloads that do not involve a database server. extensive statistics about rate and latency is available, including latency percentiles and histograms. Low overhead even with thousands of concurrent threads. sysbench is capable of generating and tracking hundreds of millions of events per second. New benchmarks can be... -
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Yandex Tank
Load and performance benchmark tool
Yandex.Tank is an extensible open-source load testing tool for advanced Linux users which is especially good as a part of an automated load testing suite. Different load generators are supported. Evgeniy Mamchits' phantom is a very fast (100 000+ RPS) shooter written in C++ (default) JMeter is an extendable and widely known one. BFG is a Python-based generator that allows you to write your load scenarios in Python. Experimental Golang generator: pandora. Performance analytics backend... -
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I3D models trained on Kinetics
Convolutional neural network model for video classification
Kinetics-I3D, developed by Google DeepMind, provides trained models and implementation code for the Inflated 3D ConvNet (I3D) architecture introduced in the paper “Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset” (CVPR 2017). The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with... -
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List
An immutable list with unmatched performance and functional API
An immutable list with unmatched performance and a comprehensive functional API. List is a purely functional alternative to arrays. It is an implementation of a fast persistent sequence data structure. Compared to JavaScript Array List has three major benefits. List is immutable. This makes it safer and better suited for functional programming. It doesn't tempt you with an imperative API and accidental mutations won't be a source of bugs. Since List doesn't allow mutations it can be heavily... -
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benchm-ml
A benchmark of commonly used open source implementations
This repository is designed to provide a minimal benchmark framework comparing commonly used machine learning libraries in terms of scalability, speed, and classification accuracy. The focus is on binary classification tasks without missing data, where inputs can be numeric or categorical (after one-hot encoding). It targets large scale settings by varying the number of observations (n) up to millions and the number of features (after expansion) to about a thousand, to stress test different... -
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Dopamine
Framework for prototyping of reinforcement learning algorithms
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. It aims to fill the need for a small, easily grokked codebase in which users can freely experiment with wild ideas (speculative research). This first version focuses on supporting the state-of-the-art, single-GPU Rainbow agent (Hessel et al., 2018) applied to Atari 2600 game-playing (Bellemare et al., 2013). Specifically, our Rainbow agent implements the three components identified as most important... -
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Hero
A handy, fast and powerful go template engine
Hero is a handy, fast and powerful go template engine, which pre-compiles the HTML templtes to go code. It has been used in a production environment in bthub.io. The function definition statement defines the function which represents a html file. The function defined should return one and only one parameter []byte. Extend statement states the parent template the current template extends. Include statement includes a sub-template to the current template. It works like #include in C++. Import... -
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Omniglot
Omniglot data set for one-shot learning
This repository hosts the Omniglot dataset for one-shot learning, containing handwritten characters across multiple alphabets along with stroke data. It includes both MATLAB and Python starter scripts (e.g. demo.m, demo.py) to illustrate how to load the images and stroke sequences and run baseline experiments (such as classification by modified Hausdorff distance). The dataset provides both an image representation of each character and the time-ordered stroke coordinates ([x, y, t]) for each... -
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HOBBIT Java SDK Example
Integrate your benchmarks and systems into the HOBBIT platform
Integrate your benchmarks and systems into the HOBBIT platform in 5 minutes. This repository contains all types of HOBBIT-compatible components and number of tests, required to debug components locally without having a running instance of the platform. The repository may be cloned and used as a HOBBIT-compatible basis for the future project (benchmark or system). The tests allow developers to debug components either as pure java codes or packaged into docker containers. Fully tested docker... -
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Ceras
Universal binary serializer for a wide variety of scenarios
Ceras is a binary serializer. It converts any object into a byte[] and back. It goes above and beyond in terms of features, speed, and comfort. Supports reference loops, large/complicated inheritance chains, splitting objects into parts. Ceras generally ranks at the top end of the performance spectrum, together with NetSerializer and MessagePack-CSharp. To get an idea of how Ceras performs here are the preliminary benchmark results. The resulting binary size is about the same as... -
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Video Nonlocal Net
Non-local Neural Networks for Video Classification
video-nonlocal-net implements Non-local Neural Networks for video understanding, adding long-range dependency modeling to 2D/3D ConvNet backbones. Non-local blocks compute attention-like responses across all positions in space-time, allowing a feature at one frame and location to aggregate information from distant frames and regions. This formulation improves action recognition and spatiotemporal reasoning, especially for classes requiring context beyond short temporal windows. The repo... -
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libaco
A blazing fast and lightweight C asymmetric coroutine library
libaco, a blazing fast and lightweight C asymmetric coroutine library. Along with the implementation of a production-ready C coroutine library, here is detailed documentation about how to implement the fastest and correct coroutine library and also with strict mathematical proof. It has no more than 700 LOC but has the full functionality which you may want from a coroutine library. The benchmark part shows that a context switch between coroutines only takes about 10 ns (in the case of the... -
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cocolib / light field suite
CUDA library for continuous optimization and light field analysis
Library for continuous convex optimization in image analysis, together with a command line tool and Matlab interface. Implements several recent algorithms for inverse problems and image segmentation with total variation regularizers and vectorial multilabel transition costs. Also included is a suite for variational light field analysis, which ties into the HCI light field benchmark set and givens reference implementations for a number of our recently published algorithms. *** NOTE: ... -
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Assorted projects. General-purpose libraries for Python, C++, Scala, bash, and others. Meta-programming tools. System utilities. UI components. Web APIs. Configuration files. Benchmarks. Programming competition entries. And much more.
