Search Results for "reduce"
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Showing 76 open source projects for "reduce"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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waifu2x ncnn Vulkan
waifu2x converter ncnn version, run fast GPU with vulkan
ncnn implementation of waifu2x converter. Runs fast on Intel/AMD/Nvidia/Apple-Silicon with Vulkan API. waifu2x-ncnn-vulkan uses ncnn project as the universal neural network inference framework. -
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amis
Front-end low-code framework to generate various pages through JSON
amis is a low-code front-end framework that uses JSON configuration to generate pages, which can reduce the workload of page development and greatly improve efficiency. After a decade of development, front-end development is becoming increasingly complex, the threshold is getting higher and higher, to use the current popular UI component library, you must know npm, , webpack, react/vueyou must be familiar with ES6the syntax, but also to understand the best state management, for example Redux, if no contact with functional programming, light entry is very strenuous, but after entry it will find there is a huge eco- related library has 2347 Ge, many features similar to the selection of high costs. ... -
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Fx for Go
A dependency injection based application framework for Go.
...Code reuse: Fx lets teams within your organization build loosely-coupled and well-integrated shareable components. Battle tested: Fx is the backbone of nearly all Go services at Uber. Reduce boilerplate in setting up your application. Eliminate global state in your application. Add new components and have them instantly accessible across the application. Build general purpose shareable modules that just work. -
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NoneBot
Asynchronous multi-platform robot framework written in Python
...Supports multiple platforms and multiple incident response methods. Asynchronous priority development to improve operational efficiency. Simple and clear dependency injection system, built-in dependency functions reduce user code. NoneBot2 is a modern, cross-platform, and extensible Python chatbot framework. It is based on Python's type annotations and asynchronous features, and can provide convenient and flexible support for your needs. NoneBot2 is written based on Python asyncio , and has a certain degree of synchronous function compatibility based on the asynchronous mechanism. ... -
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FastAPI Python
FastAPI framework, high performance, easy to learn, fast to code
FastAPI framework, high performance, easy to learn, fast to code, ready for production. FastAPI is a modern, fast (high-performance), web framework for building APIs with Python based on standard Python type hints. -
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Valdi
Cross-platform UI framework that delivers native performance
...Its design focuses heavily on performance characteristics that matter in real apps, like keeping scrolling smooth, minimizing view creation overhead, and limiting unnecessary re-renders so updates stay incremental and cheap. The framework also emphasizes developer velocity with tooling that shortens the edit–run cycle, including rapid hot reload and a workflow that aims to reduce the traditional compile-test-debug friction in native development. -
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Spring Data MongoDB
Provide support to increase developer productivity in Java
The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. The Spring Data MongoDB project aims to provide a familiar and consistent Spring-based programming model for new datastores while retaining store-specific features and capabilities. The Spring Data MongoDB project provides integration with the MongoDB document database. Key functional areas of Spring Data MongoDB are a POJO-centric model for interacting with a MongoDB Document and easily writing a repository-style data access layer. ... -
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django-rest-framework-gis
Geographic add-ons for Django REST Framework
...This field handles GeoDjango geometry fields, providing custom to_native and from_native methods for GeoJSON input/output. While precision and remove_duplicates are designed to reduce the byte size of the API response, they will also increase the processing time required to render the response. This will likely be negligible for small GeoJSON responses but may become an issue for large responses. The primary key of the model (usually the "id" attribute) is automatically used as the id field of each GeoJSON Feature Object. ... -
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Spring Data Redis
Provides support to increase developer productivity in Java
...The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. Connection package as low-level abstraction across multiple Redis drivers (Lettuce and Jedis). Exception translation to Spring’s portable Data Access exception hierarchy for Redis driver exceptions. RedisTemplate that provides a high level abstraction for performing various Redis operations, exception translation and serialization support. ... -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Ray
A unified framework for scalable computing
...Accelerate your PyTorch and Tensorflow workload with a more resource-efficient and flexible distributed execution framework powered by Ray. Accelerate your hyperparameter search workloads with Ray Tune. Find the best model and reduce training costs by using the latest optimization algorithms. Deploy your machine learning models at scale with Ray Serve, a Python-first and framework agnostic model serving framework. Scale reinforcement learning (RL) with RLlib, a framework-agnostic RL library that ships with 30+ cutting-edge RL algorithms including A3C, DQN, and PPO. ... -
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BricksLLM
Enterprise-grade API gateway that helps you monitor and impose cost
BricksLLM is an open-source framework for building and managing production-ready LLM (Large Language Model) applications. It provides tooling for prompt engineering, memory management, observability, and chaining, all in one unified developer experience. BricksLLM is designed to reduce boilerplate and increase the maintainability of LLM-based workflows. -
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MJML 4
The only framework that makes responsive-email easy
MJML is a markup language created by Mailjet and designed to reduce the pain of coding a responsive email. Its semantic syntax makes the language easy and straightforward while its rich standard components library shortens your development time and lightens your email codebase. MJML’s open-source engine takes care of translating the MJML you wrote into responsive HTML. -
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.NET for Apache Spark
A free, open-source, and cross-platform big data analytics framework
.NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write... -
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ProGuard
ProGuard, Java optimizer and obfuscator
ProGuard is a free shrinker, optimizer, obfuscator, and preverifier for Java bytecode. It detects and removes unused classes, fields, methods, and attributes. It optimizes bytecode and removes unused instructions. It renames the remaining classes, fields, and methods using short meaningless names. ProGuard can be run as a task in Gradle. Before you can use the proguard task, you have to make sure Gradle can find it in its class path at build time. One way is to add the following line to your... -
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Meridian
Meridian is an MMM framework
...Meridian uses the No-U-Turn Sampler (NUTS) for Markov Chain Monte Carlo (MCMC) sampling to produce statistically rigorous results, and it includes GPU acceleration to significantly reduce computation time. -
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decimal
Arbitrary-precision fixed-point decimal numbers in go
...Addition, subtraction, and multiplication with no loss of precision. Division with specified precision. Database/sql serialization/deserialization. JSON and XML serialization/deserialization. big.Int's API is built to reduce the number of memory allocations for maximal performance. This makes sense for its use-case, but the trade-off is that the API is awkward and easy to misuse. In contrast, it's difficult to make such mistakes with decimal. Decimals behave like other go numbers types: even though a = b will not deep copy b into a, it is impossible to modify a Decimal, since all Decimal methods return new Decimals and do not modify the originals. ... -
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MoreLINQ
Extensions to LINQ to Objects
...This happened with MoreLINQ, for example, when Microsoft .NET Framework 4.0 introduced Zip and MoreLINQ already had one. Starting with version 3.0 of MoreLINQ, you can reduce the potential for present (or even future) conflicts by individually importing just the extension methods you need using the static imports feature introduced in C# 6. Building the documentation is supported on Windows only and requires Sandcastle Help File Builder (SHFB). Executing builddocs.cmd generates the documentation in the docs/api directory. -
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AI Berkshire
AI-era Berkshire: a value investing research framework
...The project is meant to improve research depth, decision discipline, and analytical consistency compared with asking a general AI model for a one-off stock opinion. It uses parallel agent analysis, adversarial viewpoints, financial rigor checks, and repeatable report formats to reduce shallow or overly balanced conclusions. The framework covers company research, earnings review, industry screening, portfolio thinking, management analysis, and investment checklists. It is best understood as a research and decision-support system rather than a source of financial advice. -
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GopherLua
GopherLua: VM and compiler for Lua in Go
...It provides Go APIs that allow you to easily embed a scripting language to your Go host programs. The stack-based API like the one used in the original Lua implementation will cause a performance improvement in GopherLua (It will reduce memory allocations and concrete type <-> interface conversions). GopherLua API is not a stack-based API. GopherLua gives preference to user-friendliness over performance. GopherLua APIs perform in much the same way as Lua, but the stack is used only for passing arguments and receiving returned values. -
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Tiny CUDA Neural Networks
Lightning fast C++/CUDA neural network framework
...The fully fused MLP component of this framework requires a very large amount of shared memory in its default configuration. It will likely only work on an RTX 3090, an RTX 2080 Ti, or high-end enterprise GPUs. Lower-end cards must reduce the n_neurons parameter or use the CutlassMLP (better compatibility but slower) instead. tiny-cuda-nn comes with a PyTorch extension that allows using the fast MLPs and input encodings from within a Python context. These bindings can be significantly faster than full Python implementations; in particular for the multiresolution hash encoding. -
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Netty
An event-driven asynchronous network application framework
...It wraps Java NIO with a channel/handler pipeline model, enabling clean composition of codecs, TLS, and application logic with minimal overhead. Its ByteBuf abstractions, buffer pooling, and zero-copy techniques help reduce GC pressure and improve throughput under heavy I/O. Support for common protocols—HTTP/1.1, HTTP/2, WebSocket, and raw TCP/UDP—makes it a foundation for RPC frameworks, proxies, and messaging systems. Pluggable transports and native integrations (like epoll or kqueue where available) allow fine-tuning for different operating systems. ... -
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Grape
An opinionated framework for creating REST-like APIs in Ruby
...It integrates well with frameworks like Rails or Sinatra but can also be used standalone for microservices. Built-in tools like parameter coercion, strong validations, and automatic documentation (via Swagger integrations) reduce boilerplate and improve maintainability. Because it’s lightweight and purpose-built, Grape is popular in service-oriented architectures where clean, well-structured APIs are central. -
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Meteor
Meteor, the JavaScript App Platform
...The framework popularized DDP (a lightweight pub/sub protocol) and a client cache (Minimongo) to mirror server collections on the client for latency-compensated interactions. A batteries-included build system, package ecosystem, and opinionated project structure reduce setup time for accounts, methods, publications, and UI integration. Historically paired with Blaze, Meteor also works well with modern front-end libraries like React, Vue, or Svelte for rendering. Its dev experience focuses on hot reloads, rapid prototyping, and predictable data flow, making it attractive for teams that want real-time features without stitching together many separate tools. -
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Ktorm
A lightweight ORM framework for Kotlin with strong-typed SQL DSL
Ktorm is a lightweight and efficient ORM Framework for Kotlin directly based on pure JDBC. It provides strong-typed and flexible SQL DSL and convenient sequence APIs to reduce our duplicated effort on database operations. All the SQL statements, of course, are generated automatically. Ktorm is open source and available under the Apache 2.0 license. Please leave a star if you've found this library helpful. -
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Cabin
Cabin is the best JavaScript and Node.js logging service and logging
...Cabin is a drop-in replacement and the best alternative to Sentry, Timber, Airbrake, Papertrail, Loggly, Bugsnag, etc. Cabin will automatically detect and mask the following list of extremely sensitive types of data in your logs. Reduce your disk storage costs through Cabin's automatic conversion of Streams, Buffers, and ArrayBuffers to simplified, descriptive-only objects that otherwise would be unreadable (and obviously pollute your log files and disk storage). Cabin works with the most popular Node.js HTTP frameworks (e.g. Express and Koa), request body handling packages (e.g. multer and body-parser), and the passport authentication framework. ...
