Search Results for "compare" - Page 3
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Showing 72 open source projects for "compare"
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algo
50 Code Implementations You Must Know About Data Structures
...Solutions are available across numerous languages, including C, C++, Java, Go, Python, JavaScript, Rust, Swift, Kotlin, and TypeScript. This multilingual layout helps learners compare syntax and implementation choices while studying the same concepts. The repository is well suited to interview preparation, classroom exercises, and deliberate coding practice. -
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Netty demos
Demos of Netty 4.x User Guide
Netty Demos is a Java example collection that accompanies the Chinese Netty 4.x User Guide and a related practical book. It lets readers compare standard blocking I/O, NIO, AIO, and Netty implementations of similar network programs. The repository includes echo, discard, time, TCP, UDP, HTTP, HTTP/2, and WebSocket examples. Additional samples explain ByteBuffer, ByteBuf usage modes, thread pools, the Reactor pattern, heartbeat handling, and custom codecs. Serialization demonstrations cover Java objects and JSON through Jackson. ... -
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PerfKit Benchmarker
PerfKit Benchmarker (PKB) contains a set of benchmarks
PerfKitBenchmarker is an open-source benchmarking framework designed to measure and compare the performance of cloud infrastructure across multiple providers in a consistent and reproducible way. It allows users to evaluate metrics such as latency, throughput, provisioning time, and system performance using a standardized set of benchmarks. The tool supports a wide range of environments, including major cloud platforms, Kubernetes clusters, and even local hardware, making it highly versatile for performance analysis. ... -
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Tensor2Tensor
Library of deep learning models and datasets
...However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and compare the results. Tensor2Tensor, or T2T for short, is a library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. T2T was developed by researchers and engineers in the Google Brain team and a community of users. It is now deprecated, we keep it running and welcome bug-fixes, but encourage users to use the successor library Trax. -
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Time Kotlin
Type-safe time calculations in Kotlin, powered by generics
Type-safe time calculations in Kotlin, powered by generics. -
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Redux Ecosystem Links
A categorized list of Redux-related addons, libraries, and utilities
...The repository groups links around core Redux concepts, middleware, async behavior, side effects, dev tools, testing, persistence, forms, routing, entity management, and integrations. It is designed as a reference index rather than a runnable package or framework. Developers can use it to compare available solutions before adding dependencies to a Redux application. It is most useful for maintainers, learners, and architects who need to understand the range of tools that have existed around Redux. -
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benchm-ml
A benchmark of commonly used open source implementations
...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 implementations. The benchmarks cover algorithms like logistic regression, random forest, gradient boosting, and deep neural networks, and they compare across toolkits such as scikit-learn, R packages, xgboost, H2O, Spark MLlib, etc. The repository is structured in logical folders, each corresponding to algorithm categories. -
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Modern JavaScript
All lecture files from the Modern JavaScript (Novice to Ninja) course
...It is structured with separate branches for individual lessons, allowing learners to open the exact code associated with a specific part of the course. The repository supports hands-on practice with modern JavaScript concepts rather than acting as a general-purpose library. It is helpful for students who want to compare their own code with course examples. The material is especially relevant for learners moving beyond basic syntax into browser scripting, application logic, and more practical JavaScript patterns. It works best as a guided course companion where the videos provide the explanation and the repository provides the working files. -
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numpy_exercises
Numpy exercises
numpy_exercises is a collection of short practice problems designed to teach numerical computing through individual NumPy functions. The material is organized as Jupyter notebooks so learners can work interactively and compare their answers with companion solution notebooks. Exercises cover array creation, manipulation, string operations, help utilities, input and output, and linear algebra. Additional sections address discrete Fourier transforms, logic functions, mathematics, random sampling, and set routines. Sorting, searching, counting, and statistics are also included. ... -
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Compare GAN
Compare GAN code
compare_gan is a research codebase that standardizes how Generative Adversarial Networks are trained and evaluated so results are comparable across papers and datasets. It offers reference implementations for popular GAN architectures and losses, plus a consistent training harness to remove confounding differences in optimization or preprocessing. The library’s evaluation suite includes widely used metrics and diagnostics that quantify sample quality, diversity, and mode coverage. With... -
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Git Time Machine
Atom package that allows you to travel back in commit history
git-time-machine is a user interface (often as an editor plugin or UI extension) that allows users to browse a file’s history visually, stepping back and forth through revisions in Git like a “time machine.” It shows changes to a file over time, lets users compare older states, and often provides diff and blame views to understand how the file evolved. Instead of just opening a commit log or diff, git-time-machine gives an interactive, incremental experience where you can slide through versions and see content changes in place. This is especially helpful when diagnosing when bugs were introduced, exploring regression contexts, or reviewing code evolution visually. ... -
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Synaptic
Architecture-free neural network library for node.js and the browser
...This library includes a few built-in architectures like multilayer perceptrons, multilayer long-short term memory networks (LSTM), liquid state machines or Hopfield networks, and a trainer capable of training any given network, which includes built-in training tasks/tests like solving an XOR, completing a Distracted Sequence Recall task or an Embedded Reber Grammar test, so you can easily test and compare the performance of different architectures. If you have no prior knowledge about Neural Networks, you should start by reading the provided guide. -
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Projects-Solutions
Links to others' solutions to Projects
Projects-Solutions is a companion repository to Projects; while Projects contains the list of project ideas, Projects-Solutions links to solutions submitted by other users in multiple programming languages. It is effectively a community-driven gallery of implementations of the tasks defined in the “Projects” list, allowing learners to compare their solutions, study others’ code, and improve their approach. The repository aggregates links and resources rather than necessarily hosting all code directly; it serves as an index. The README makes clear that the goal is to build a repository of implementations across languages, showing that the same problem can be solved in Python, Java, Go, JavaScript, C++, etc. ... -
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ECMAScript 6
Overview of ECMAScript 6 features
...The project walks through features such as arrow functions, classes, enhanced object literals, template strings, destructuring, modules, promises, symbols, proxies, and new collection types. Each section includes code examples that compare the new syntax and behavior with familiar JavaScript patterns. The repository is useful as a quick reference for developers learning modern JavaScript syntax and concepts. Its main value is condensing a major language update into readable examples that are easy to browse. -
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char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN)
char-rnn is a classic codebase for training multi-layer recurrent neural networks on raw text to build character-level language models that learn to predict the next character in a sequence. It supports common recurrent architectures including vanilla RNNs as well as LSTM and GRU variants, letting users compare behavior and output quality across model types. It is straightforward: you provide a single text file, train the model to minimize next-character prediction loss, then sample from the trained network to generate new text one character at a time in the style of the dataset. The project is designed for experimentation, offering tunable settings for depth, hidden size, dropout, sequence length, and sampling temperature to control creativity and coherence. ... -
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SourceAFIS
Fingerprint recognition library (.NET port)
SourceAFIS is a software library for human fingerprint recognition. It can compare two fingerprints 1:1 or search a large database for matching fingerprint. It takes raw fingerprint images on input and produces matching score on output. Click the website link above for more info. -
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TSQL Compare and Deploy Library
Detects differences between 2 databases and applies the changes
A .Net DLL for discovering differences between two SQL Server databases and applies the changes to the other. -
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Stand-alone Java library implementing parser/formatter/comparator/validator for JSON/XML-like text formats oriented on JSON-like object model (list,map,scalar + reflection). Library is designed to maximize adaptivity via set of extendable modules.
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Image Compare
The tool to find duplicate images at different resolutions.
The goal of this project is to compare two images at different resolutions and determine if they are the same image. Just point the tool at a directory and press SCAN. The tool will find all the duplicates that match your settings. The default is anything over 90%. -
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vsResolver
DNS Validating Stub Resolver
...Click on this link for a ridiculously simple python page demonstrating vsResolver working - http://superawesum.novas.us/py/hello.py. Try entering some domains and click submit. Then, enable details, click submit to get the details,and compare with what you get for that domain at http://dnssec-debugger.verisignlabs.com. -
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THIS PROJECT HAS NOW MOVED TO GITHUB: https://github.com/arenhag/BizUnitCompare BizUnitCompare enables you to easily compare the actual result of your integrations with an expected result. It differs from the XPathValidationStep in that it allows you to define what to exclude rather than have to define everything to include.
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An Expression Parser and Evaluator result in JSON object. Written in Pascal. 表达式的解析和求值是一个应用面非常广的功能。JSON格式因其简明、易于操作，使用面日渐广泛。本项目将表达式分析的结果存放在JS
