Search Results for "unit-api" - Page 49
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Showing 6276 open source projects for "unit-api"
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Opacus
Training PyTorch models with differential privacy
...Vectorized per-sample gradient computation that is 10x faster than micro batching. Supports most types of PyTorch models and can be used with minimal modification to the original neural network. Open source, modular API for differential privacy research. Everyone is welcome to contribute. ML practitioners will find this to be a gentle introduction to training a model with differential privacy as it requires minimal code changes. Differential Privacy researchers will find this easy to experiment and tinker with, allowing them to focus on what matters. -
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Deepchecks
Test Suites for validating ML models & data
...To run a specific single check, all you need to do is import it and then to run it with the required (check-dependent) input parameters. More details about the existing checks and the parameters they can receive can be found in our API Reference. An ordered collection of checks, that can have conditions added to them. The Suite enables displaying a concluding report for all of the Checks that ran. -
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DALI
A GPU-accelerated library containing highly optimized building blocks
The NVIDIA Data Loading Library (DALI) is a library for data loading and pre-processing to accelerate deep learning applications. It provides a collection of highly optimized building blocks for loading and processing image, video and audio data. It can be used as a portable drop-in replacement for built-in data loaders and data iterators in popular deep learning frameworks. Deep learning applications require complex, multi-stage data processing pipelines that include loading, decoding,... -
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mlpack
mlpack: a scalable C++ machine learning library
mlpack is an intuitive, fast, and flexible C++ machine learning library with bindings to other languages. It is meant to be a machine learning analog to LAPACK, and aims to implement a wide array of machine learning methods and functions as a "swiss army knife" for machine learning researchers. In addition to its powerful C++ interface, mlpack also provides command-line programs, Python bindings, Julia bindings, Go bindings and R bindings. Written in C++ and built on the Armadillo linear... -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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PyG
Graph Neural Network Library for PyTorch
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support,... -
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AWS SDK ZF2 Module
ZF2 module for using the AWS SDK for PHP to interact with AWS services
...The SDK is a modern, open-source PHP library that makes it easy to integrate your PHP application with AWS services like Amazon S3, Amazon Glacier, and Amazon DynamoDB. Version 3 of the AWS SDK for PHP is now generally available and includes a number of improvements and new features while maintaining nearly identical API patterns for easy migration from version 2. Conveniently marshal and unmarshal JSON documents and PHP arrays for storage in Amazon DynamoDB. Remove the session state scale bottleneck by easily storing the application session state in DynamoDB. Use PHP's built-in functions such as fopen, copy, and file_get_contents to work with objects stored in Amazon S3. ... -
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phantomas
Headless Chromium-based web performance metrics collector
...In-depth metrics such as: number of events bound via jQuery, calls to window.writeor complex and duplicated CSS selectors (via analyze-css). JSON as an output format. Easy integration with other nodejs projects via CommonJS module (see API docs). Metrics can be emitted from the JavaScript code of the page phantomas is run against (thanks to helper functions available in window.__phantomas). Device profiles allow phantomas to emulate mobile or tablet (by setting a proper user agent and viewport). phantomas comes as a CommonJS module that you can use in your nodejs projects. ... -
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Pedestal
The Pedestal Server-side Libraries
Pedestal is a set of libraries that we use to build services and applications. It runs in the back end and can serve up whole HTML pages or handle API requests. There are a lot of tools in that space, so why did we build Pedestal? We had two main reasons. Pedestal is designed for APIs first. Most web app frameworks still focus on the "page model" and server-side rendering. Pedestal lets you start simple and add that if you need it. Pedestal makes it easy to create "live" applications. ... -
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Selenium-python Helium
Selenium-python but lighter: Helium is the best Python library
Under the hood, Helium forwards each call to Selenium. The difference is that Helium's API is much more high-level. In Selenium, you need to use HTML IDs, XPaths and CSS selectors to identify web page elements. Helium on the other hand lets you refer to elements by user-visible labels. As a result, Helium scripts are typically 30-50% shorter than similar Selenium scripts. What's more, they are easier to read and more stable with respect to changes in the underlying web page. -
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Mongoid
Ruby ODM framework for MongoDB
Mongoid is the officially supported ODM (Object-Document-Mapper) framework for MongoDB in Ruby. This Mongoid community organization is a group of open-source contributors around the Mongoid ODM not affiliated with the company, MongoDB. Mongoid is customarily configured through a mongoid.yml file that specifies options and clients. The simplest configuration is as follows, which configures Mongoid to talk to a MongoDB server at “localhost:27017” and use the database named “mongoid”. If you... -
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Botonic
Build chatbots and conversational experiences using React
Botonic is a full-stack Javascript framework to create chatbots and modern conversational apps that work on multiple platforms, web, mobile and messaging apps (Messenger, Whatsapp, Telegram, etc). Building modern applications on top of messaging apps like Whatsapp or Messenger is much more than creating simple text-based chatbots. Botonic is a full-stack serverless framework that combines the power of React and Tensorflow.js to create amazing experiences at the intersection of text and... -
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Alternative JSON parser for Go
One of the fastest alternative JSON parser for Go
It does not require you to know the structure of the payload (eg. create structs), and allows accessing fields by providing the path to them. It is up to 10 times faster than standard encoding/json package (depending on payload size and usage), allocates no memory. Originally made for a project that relies on a lot of 3rd party APIs that can be unpredictable and complex. Encoding/json requires you to know exactly your data structures, or if you prefer to use map[string]interface{} instead,... -
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Cinder
Community-developed library for professional-quality creative coding
Cinder is a free and open source library for professional-quality creative coding in C++. Cinder is available under the BSD License for macOS and Windows. The latest version is 0.9.2. To keep up-to-date with Cinder’s development, consider working from the github repository directly. Cinder is a C++ library for programming with aesthetic intent - the sort of development often called creative coding. This includes domains like graphics, audio, video, and computational geometry. Cinder is... -
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PyMC3
Probabilistic programming in Python
...PyMC3 provides rich support for defining and using GPs. Variational inference saves computational cost by turning a problem of integration into one of optimization. PyMC3's variational API supports a number of cutting edge algorithms, as well as minibatch for scaling to large datasets. -
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ElasticJob
Distributed scheduled job framework
...ElasticJob-Lite is a lightweight, decentralized solution that provides distributed task sharding services. ElasticJob-Cloud uses Mesos to manage and isolate resources. It uses a unified job API for each project. Developers only need code one time and can deploy at will. Support job sharding and high availability in distributed system. Scale out for throughput and efficiency improvement. Job processing capacity is flexible and scalable with the allocation of resources. Execute job on suitable time and assigned resources. ... -
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Doctrine Inflector
Small library for string manipulations to uppercase/lowercase words
PHP Doctrine Inflector is a small library that can perform string manipulations with regard to upper/lowercase and singular/plural forms of words. The Doctrine Inflector has methods for inflecting text. The features include pluralization, singularization, converting between camelCase and under_score and capitalizing words. Using the inflector is easy, you can create a new Doctrine\Inflector\Inflector instance by using the Doctrine\Inflector\InflectorFactory class. By default it will create... -
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n
Node version management
Node.js version management: no subshells, no profile setup, no convoluted API, just simple. n is not supported natively on Windows. There are a variety of ways of specifying the target Node.js version for n commands. Most commands use the latest matching version, and n ls-remote lists multiple matching versions. n downloads a prebuilt Node.js package and installs to a single prefix (e.g. /usr/local). This overwrites the previous version. -
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TensorFlow.js
TensorFlow.js is a library for machine learning in JavaScript
...Tensors are the core datastructure of TensorFlow.js They are a generalization of vectors and matrices to potentially higher dimensions. Built on top of TensorFlow.js, the ml5.js library provides access to machine learning algorithms and models in the browser with a concise, approachable API. Comfortable with concepts like Tensors, Layers, Optimizers and Loss Functions (or willing to get comfortable with them)? TensorFlow.js provides flexible building blocks for neural network programming in JavaScript. -
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Halide
A language for fast, portable data-parallel computation
...It isn't a standalone programming language however; rather it is embedded in C++ which means that you write C++ code, building an in-memory representation of a Halide pipeline using Halide's C++ API. This representation can then be compiled to an object file, or a JIT-compile and run in the same process. Halide also comes with a Python binding, allowing the writing of Halide embedded in Python without C++. -
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spaCy
Industrial-strength Natural Language Processing (NLP)
...It comes with pretrained statistical models and word vectors, convolutional neural network models, easy deep learning integration and so much more. spaCy is the fastest syntactic parser in the world according to independent benchmarks, with an accuracy within 1% of the best available. It's blazing fast, easy to install and comes with a simple and productive API. -
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react-error-boundary
Simple reusable React error boundary component
react-error-boundary is a tiny, well-tested utility that makes React’s error boundaries practical and ergonomic for everyday apps. It wraps React’s error-handling primitives in a single <ErrorBoundary> component with a predictable API for rendering fallbacks when descendant components throw during render, lifecycle, or event handlers. The library emphasizes recovery, not just failure: you can reset the error state programmatically or when certain “reset keys” change, returning the subtree to a healthy state without a full page refresh. It supports both declarative fallbacks (elements) and a render-prop approach so you can tailor the UI to the error and provide retry buttons or diagnostics. ... -
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Homemade Machine Learning
Python examples of popular machine learning algorithms
...The purpose is pedagogical: you’ll see linear regression, logistic regression, k-means clustering, neural nets, decision trees, etc., built in Python using fundamentals like NumPy and Matplotlib, not hidden behind API calls. It is well suited for learners who want to move beyond library usage to understand how algorithms operate internally—how cost functions, gradients, updates and predictions work. -
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Starter Applets
Google AI Studio Starter Apps
...The repo supplies a CLI or script to scaffold new applet templates, letting developers spin up small Gemini-powered components quickly. Each applet includes configuration parameters (API keys, model selection, prompt parameters) in a secure but flexible format. Because applets are meant to be composable, they adopt a modular plugin architecture so you can integrate one into a Next.js, Flutter, or native app with minimal glue. -
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FlashMLA
FlashMLA: Efficient Multi-head Latent Attention Kernels
...On very compute-bound settings, it can reach up to ~660 TFLOPS on H800 SXM5 hardware, while in memory-bound configurations it can push memory throughput to ~3000 GB/s. The team regularly updates it with performance improvements; for example, a 2025 update claims 5 % to 15 % gains on compute-bound workloads while maintaining API compatibility. -
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Perl 5
The Perl programming language
...The core distribution is highly portable, building on Unix, Linux, Windows, and many other platforms, with stable release cycles and careful back-compatibility. A C API (XS) and embedding APIs allow tight integration with native libraries and host applications, while the CPAN ecosystem supplies hundreds of thousands of reusable modules. Development emphasizes robust tests (t/), meticulous changelogs, and tooling like perldoc to keep the language approachable and dependable. In practice, Perl 5 remains a workhorse for sysadmin automation, data munging, web services, and any task where flexible, expressive text handling is paramount.
