Search Results for "b-processor" - Page 5
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Showing 1652 open source projects for "b-processor"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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BTCPay Server
Free, open-source & self-hosted, Bitcoin payments
BTCPay Server is a self-hosted, open-source cryptocurrency payment processor. It's secure, private, censorship-resistant, and free. Launch a server in a cloud, your own hardware device, or use an existing host. Connect your e-commerce store or use one of many apps to get paid. Funds arrive directly to your connected wallet. Features you use the most are baked right into every instance so you can hit the ground running. -
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AI Marketing Skills
Open-source AI marketing skills for Claude Code
...The system is organized into multiple domains such as growth experimentation, sales pipeline generation, content production, outbound marketing, SEO optimization, and financial analysis, effectively covering the entire revenue lifecycle of a business. Each skill functions as an executable capability that can be invoked on demand, enabling users to perform tasks like running A/B tests, generating high-quality content, or analyzing conversion funnels with minimal manual effort. -
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HCubature.jl
Pure-Julia multidimensional h-adaptive integration
The HCubature module is a pure-Julia implementation of multidimensional "h-adaptive" integration. then hcubature(f, a, b) computes the integral, adaptively subdividing the integration volume into smaller and smaller pieces until convergence is achieved to the desired tolerance (specified by optional rtol and atol keyword arguments. Because hcubature is written purely in Julia, the integrand f(x) can return any vector-like object (technically, any type supporting +, -, * real, and norm: a Banach space). ... -
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Roots.jl
Root finding functions for Julia
...The basic call is find_zero(f, x0, [M], [p]; kws...) where, typically, f is a function, x0 a starting point or bracketing interval, M is used to adjust the default algorithms used, and p can be used to pass in parameters. Bisection-like algorithms. For functions where a bracketing interval is known (one where f(a) and f(b) have alternate signs), a bracketing method, like Bisection, can be specified. The default is Bisection, for most floating point number types, employed in a manner exploiting floating point storage conventions. For other number types (e.g. BigFloat), an algorithm of Alefeld, Potra, and Shi is used by default. These default methods are guaranteed to converge. ... -
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SHG SER Processor
SHGs like Sol'Ex captured SER videos processing
Spectroheliograph like Sol'Ex captured SER videos processing with simultaneous extraction and processing of main line image, subtracting image (for Helium), main2 image (for Doppler) and reference image for geometric processing of main image. Saves resulting images (main and reference) in FITS and XCF formats. Separate delta positions from baseline fitted curve for all lines (main, main2/subtractive and reference). Correction of inclination and size ratio of images. Doppler color image... -
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Tiny CUDA Neural Networks
Lightning fast C++/CUDA neural network framework
...Most notably, it contains a lightning-fast "fully fused" multi-layer perceptron (technical paper), a versatile multiresolution hash encoding (technical paper), as well as support for various other input encodings, losses, and optimizers. We provide a sample application where an image function (x,y) -> (R,G,B) is learned. 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. ... -
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Agent Reinforcement Trainer
Train multi-step agents for real-world tasks using GRPO
Agent Reinforcement Trainer, or ART is an open-source reinforcement learning framework tailored to training large language model agents through experience, making them more reliable and performant on multi-turn, multi-step tasks. Instead of just manually crafting prompts or relying on supervised fine-tuning, ART uses techniques like Group Relative Policy Optimization (GRPO) to let agents learn from environmental feedback and reward signals. The framework is designed to integrate easily with... -
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AICodeBot
AI-powered tool for developers, simplifying coding tasks
...This project was built before AI Coding Assistants were cool. As such, much of the functionality has been replicated in various IDEs. Where AICodeBot shines is a) it's in the terminal, not GUI, and b) it can be used in processes like GitHub actions. We're using AICodeBot to build AICodeBot, and it's upward spiraling all the time.️ We're looking for contributors to help us build it out. -
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IVY
The Unified Machine Learning Framework
...Implement the model in PyTorch yourself, spending time and energy ensuring every detail is correct. Otherwise, wait for a PyTorch version to appear on GitHub, among the many re-implementation attempts that appear (a, b, c, d, e, f). Instantly transpile the JAX model to PyTorch. This creates an identical PyTorch equivalent of the original model. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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go-datastructures
A collection of useful, performant, and threadsafe Go datastructures
Go-datastructures is a collection of useful, performant, and threadsafe Go datastructures. Interval tree for collision in n-dimensional ranges. Implemented via a red-black augmented tree. Extra dimensions are handled in simultaneous inserts/queries to save space although this may result in suboptimal time complexity. Intersection determined using bit arrays. In a single dimension, inserts, deletes, and queries should be in O(log n) time. Bitarray used to detect existence without having to... -
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Sisk Framework
Sisk's request and response processor mainframe source code
Sisk is a lightweight web framework designed for fast and robust development, which allows you to take the full control of what you want to do. Sisk allows you to create quick or large projects with as little code as possible, quickly, focused on enabling development your way. Sisk enables web development the way you want. Create MVC, MVVM, SOLID applications, or any other design pattern you're interested in. Robust projects tested in small, low-cost, low-performance environments with good,... -
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Embedded Template Library (ETL)
Embedded Template Library
C++ is a great language to use for embedded applications and templates are a powerful aspect. The standard library can offer a great deal of well-tested functionality, but there are some parts of the standard library that do not fit well with deterministic behavior and limited resource requirements. These limitations usually preclude the use of dynamically allocated memory and containers with open-ended sizes. What is needed is a template library where the user can declare the size, or... -
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Benthos
Fancy stream processing made operationally mundane
Benthos is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads. It comes with a powerful mapping language, is easy to deploy and monitor, and ready to drop into your pipeline either as a static binary, docker image, or serverless function, making it cloud native as heck. -
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TensorFlow Serving
Serving system for machine learning models
TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments. It deals with the inference aspect of machine learning, taking models after training and managing their lifetimes, providing clients with versioned access via a high-performance, reference-counted lookup table. TensorFlow Serving provides out-of-the-box integration with TensorFlow models, but can be easily extended to serve other types of models and data. The... -
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Swirl
Swirl queries any number of data sources with APIs
Swirl queries any number of data sources with APIs and uses spaCy and NLTK to re-rank the unified results without extracting and indexing anything! Includes zero-code configs for Apache Solr, ChatGPT, Elastic Search, OpenSearch, PostgreSQL, Google BigQuery, RequestsGet, Google PSE, NLResearch.com, Miro & more! SWIRL adapts and distributes queries to anything with a search API - search engines, databases, noSQL engines, cloud/SaaS services etc - and uses AI (Large Language Models) to re-rank... -
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MaxKey
MaxKey SSO ,Leading-Edge IAM-IDaas(Identity and Access Management)
Maxkey Single Sign On System, which means the Maximum key, Leading-Edge IAM/IDaas Identity and Access Management product, supports OAuth 2.x/OpenID Connect, SAML 2.0, JWT, CAS, SCIM, and other standard protocols, and provide Secure, Standard and Open Identity management (IDM), Access management (AM), Single Sign On (SSO), RBAC permission management and Resource management. MaxKey focuses on performance, security, and ease of use in enterprise scenarios, is widely used in industries such as... -
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Micrometer
App observability facade for the most popular observability tools
...Micrometer provides vendor-neutral interfaces for timers, gauges, counters, distribution summaries, and long task timers with a dimensional data model that, when paired with a dimensional monitoring system, allows for efficient access to a particular named metric with the ability to drill down across its dimensions. Out-of-the-box instrumentation of caches, the class loader, garbage collection, processor utilization, thread pools, and more tailored to actionable insight. Micrometer is the instrumentation library powering the delivery of application observability from Spring Boot applications. -
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AWS Node Termination Handler
Gracefully handle EC2 instance shutdown within Kubernetes
...Secure and resizable compute capacity for virtually any workload. Amazon Elastic Compute Cloud (Amazon EC2) offers the broadest and deepest compute platform, with over 500 instances and a choice of the latest processor, storage, networking, operating system, and purchase model to help you best match the needs of your workload. We are the first major cloud provider that supports Intel, AMD, and Arm processors, the only cloud with on-demand EC2 Mac instances, and the only cloud with 400 Gbps Ethernet networking. -
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RSpec Rails
RSpec for Rails 5+
...If you’re upgrading from version 2.x or below, read the rspec-rails upgrade notes to find out what to watch out for. In RSpec, assertions are called expectations, and every expectation is built around a matcher. When you expect(a).to eq(b), you’re using the eq matcher. RSpec Rails defines ten different types of specs for testing different parts of a typical Rails application. Each one inherits from one of Rails’ built-in TestCase classes, meaning the helper methods provided by default in Rails tests are available. -
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Apache APISIX
The cloud-native API gateway
...Compared with traditional API gateways, APISIX has dynamic routing and plug-in hot loading, which is especially suitable for API management under micro-service system. You can use Apache APISIX as a traffic entrance to process all business data, including dynamic routing, dynamic upstream, dynamic certificates, A/B testing, canary release, blue-green deployment, limit rate, defense against malicious attacks, metrics, monitoring alarms, service observability, service governance, etc. -
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rehype
HTML processor powered by plugins part of the @unifiedjs collective
rehype is a tool that transforms HTML with plugins. These plugins can inspect and change the HTML. You can use rehype on the server, the client, CLIs, deno, etc. rehype is an ecosystem of plugins that work with HTML as structured data, specifically ASTs (abstract syntax trees). ASTs make it easy for programs to deal with HTML. We call those programs plugins. Plugins inspect and change trees. You can use the many existing plugins or you can make your own. You can use rehype for many different... -
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S950FX
Custom operating system for the Akai S950
S950FX is a custom operating system for the Akai S950 which turns the hardware into a signal processor that applies that 12bit warmth to the audio signal in real time. -
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S900FX
Custom operating system for the Akai S900
S900FX is a custom operating system for the Akai S900 which turns the hardware into a signal processor that applies that 12bit warmth to the audio signal in real time. -
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PicoBlaze_Simulator_in_JS
A simulator of Xilinx PicoBlaze soft-processor, runnable in browsers.
A web-based assembler for and emulator of Xilinx PicoBlaze. -
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Super PDF Editor (a Batch PDF Processor)
Create, Edit, Delete, Organize , Convert, Export, Secure & Sign PDF.
Super PDF Editor - Powerful, superfast, lightweight PDF processor. All-in-one PDF solution, PDF editing with 80+ tools and functions. The easy-to-use software is complete with editing tools for modifying PDF files your way. Most comprehensive, powerful, process-based and lightning-fast batch processor software. OCR PDF. PDF Imposition, Reverse Pages, Resize Page, Scale Page, Booklet, N-up Pages, Merge, Split by page, Extract Page, Rotate Page.
