Search Results for "high" - Page 55
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Showing 5835 open source projects for "high"
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Vibecraft
Manage Claude Code in style
Vibecraft is a creative AI platform that generates stylized music, beats, and sound textures guided by high-level prompts, allowing musicians and content creators to explore new sonic possibilities without deep expertise in audio synthesis. It uses generative modeling techniques to interpret input descriptors such as genre, mood, tempo, instrument palette, and creative themes, then outputs sequences that can serve as sketches, loops, or full musical ideas. -
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OpenMeter
Metering and Billing for AI, API and DevOps
OpenMeter is an open-source metering and billing platform designed to collect, aggregate, and analyze usage events from APIs, cloud infrastructure, and software services in real time, enabling flexible usage-based billing for SaaS, AI, and DevOps offerings. It supports high-scale event ingestion and deduplication to accurately record how customers consume billable resources such as API calls, compute time, or storage, and then correlates that usage with payment systems and billing plans to automate invoicing and revenue recognition. The system includes metering, storage, cataloging of products and pricing rules, and tools to enforce limits or quotas, supporting both self-service customer portals and internal dashboards. ... -
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Mach Engine
Zig game engine & graphics toolkit
Mach is a game engine and graphics toolkit written in Zig, built with the goal of enabling high-performance, truly cross-platform 2D, 3D, GUI, and visualization applications. The project aims to deliver a modular, robust foundation where graphics, input, windowing, and rendering are unified under a modern, low-level but ergonomic API. Because Mach is written in Zig (with some shader code / WGSL), it leverages Zig’s performance and modern systems-level features while offering safe-ish abstractions compared to raw graphics APIs. ... -
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MiniMax-M2
MiniMax-M2, a model built for Max coding & agentic workflows
MiniMax-M2 is an open-weight large language model designed specifically for high-end coding and agentic workflows while staying compact and efficient. It uses a Mixture-of-Experts (MoE) architecture with 230 billion total parameters but only 10 billion activated per token, giving it the behavior of a very large model at a fraction of the runtime cost. The model is tuned for end-to-end developer flows such as multi-file edits, compile–run–fix loops, and test-validated repairs across real repositories and diverse programming languages. ... -
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Deep Learning Is Nothing
Deep learning concepts in an approachable style
...It typically begins with linear algebra, calculus, and optimization refreshers before moving to perceptrons, multilayer networks, and gradient-based training. Implementations favor small, readable examples—often NumPy first—to show how forward and backward passes work without depending solely on high-level frameworks. Once the fundamentals are clear, the material extends to CNNs, RNNs, and attention mechanisms, explaining why each architecture suits particular tasks. Practical sections cover data pipelines, regularization, and evaluation, emphasizing reproducibility and debugging techniques. The goal is to replace buzzwords with intuition so learners can reason about architectures and training dynamics with confidence. -
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The Hypersim Dataset
Photorealistic Synthetic Dataset for Holistic Indoor Scene
Hypersim is a large-scale, photorealistic synthetic dataset and tooling suite for indoor scene understanding research. It provides richly annotated renderings—RGB, depth, surface normals, instance and semantic segmentations, and material/lighting metadata—produced from high-fidelity virtual environments. The dataset spans diverse furniture layouts, room types, and camera trajectories, enabling robust training for geometry, segmentation, and SLAM-adjacent tasks. Rendering pipelines and utilities allow researchers to reproduce sequences, generate novel views, or extract task-specific supervision. Because the data are perfectly labeled and controllable, Hypersim is well suited for pretraining and for studying domain transfer to real imagery. ... -
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Sidekiq
Simple, efficient background processing for Ruby
Sidekiq is a background job processing framework for Ruby that leverages multithreading to handle thousands of jobs concurrently with minimal memory overhead. It integrates seamlessly with Rails and other Ruby applications, letting developers offload tasks such as email delivery, file processing, and API calls so the main web process stays responsive. Sidekiq uses Redis as its backend, storing job queues, scheduling information, and retries, with support for delayed jobs and exponential... -
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GLM.jl
Generalized linear models in Julia
...It is part of the JuliaStats ecosystem and is tightly integrated with StatsModels.jl for formula handling, and Distributions.jl for specifying error families. The package supports modeling through both formula-based (e.g. @formula) and matrix-based interfaces, allowing both high-level convenience and low-level control. Under the hood, GLM.jl separates the linear predictor and response objects, allowing flexible combinations of link functions, variance structures, and fitting methods. -
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Broadway
Concurrent and multi-stage data ingestion and data processing
Broadway is a data processing library for Elixir designed to handle high-throughput, concurrent workloads with ease. It provides an abstraction for defining pipelines that consume data from sources like RabbitMQ, Kafka, Amazon SQS, or custom producers. Each pipeline is fault-tolerant and backpressure-aware, ensuring stable throughput even under load. The library integrates seamlessly with GenStage and OTP supervision trees, making it highly resilient in production. -
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Reitit
A fast data-driven routing library for Clojure/Script
Reitit is a fast, data-driven routing library for Clojure and ClojureScript, designed for seamless integration with Ring and other ecosystems. It offers declarative route definition, efficient path resolution, and flexible route metadata, enabling both server-side and client-side routing with high performance and extensibility. A Ring routing app with input & output coercion using data-specs. Simple web application using Ring/Reitit and Integrant. A simple Clojure backend using Reitit to serve up a RESTful API. -
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Nunu
A CLI tool for building Go applications
Nunu is a CLI scaffolding tool for building Go applications; it aggregates and encapsulates popular Go ecosystem libraries to provide a modular, high‑performance, extensible foundation, complete with documentation and test support. Nunu is a scaffolding tool for building Go applications. Its name comes from a game character in League of Legends, a little boy riding on the shoulders of a Yeti. Just like Nunu, this project stands on the shoulders of giants, as it is built upon a combination of popular libraries from the Go ecosystem. ... -
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TanStack Virtual
Headless UI for Virtualizing Large Element Lists in JS/TS
TanStack Virtual is a lightweight, framework-agnostic library that enables high-performance virtualization for long or large lists in web UIs, providing smooth scrolling and responsive rendering by only mounting items visible in the viewport. A headless, framework‑agnostic virtualization library for rendering massive lists, grids, and tables at 60FPS while giving you full control over markup and styles. Virtualizes vertical, horizontal & grid layouts with a single hook/function. ... -
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LangDB AI Gateway
Govern, secure, and optimize your AI traffic
AI Gateway is a high-performance, open-source API gateway optimized for managing and monitoring LLM traffic at scale. Developed by the LangDB team, AI Gateway acts as an intermediary between clients and backend LLMs, providing advanced features like caching, rate limiting, prompt management, and observability. It helps teams secure and optimize their LLM deployments, whether using local models or external APIs like OpenAI or Anthropic. -
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S.U.P.E.R.M.A.N.
S.U.P.E.R.M.A.N. optimizes the macOS software update experience
super is a compact, high-performance tiling window manager for macOS that offers keyboard-driven workflow efficiency similar to tiling window managers found in Linux environments like i3 or dwm. Written in Swift, super leverages macOS APIs to allow users to manage windows in grid-like patterns, enabling rapid arrangement, resizing, and navigation without reaching for the mouse. -
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Hermit Kernel
A Rust-based, lightweight unikernel
Hermit Kernel is the core component of HermitCore, a Rust-based unikernel that runs directly on hypervisors or bare-metal systems to support high-performance cloud and HPC applications. This repository contains the microkernel’s implementation, optimized for running Rust applications natively in a lightweight, single-address-space environment. Hermit Kernel is designed to reduce latency and overhead by avoiding traditional OS abstractions, while still providing essential services such as scheduling, memory management, and networking. ... -
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glChAoS.P
3D GPUs Strange Attractors and Hypercomplex Fractals explorer
glChAoS.P is a GPU-accelerated, real-time graphics project for visualizing complex mathematical fractals, attractors, and particle systems using OpenGL and GLSL. It’s an interactive sandbox for visual experimentation with chaotic systems, combining beautiful visuals with user control via keyboard and GUI. The software includes extensive customization of rendering parameters, camera movement, and output formats, including support for VR and 360-degree panoramic videos. It’s widely used for... -
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lmdb-js
Simple, efficient, ultra-fast, scalable data store wrapper for LMDB
This is an ultra-fast NodeJS, Bun, and Deno interface to LMDB; probably the fastest and most efficient key-value/database interface that exists for storage and retrieval of structured JS data (objects, arrays, etc.) in a true persisted, scalable, ACID compliant database. It provides a simple interface for interacting with LMDB, as a key-value db, which makes it easy to fully leverage the power, crash-proof design, and efficiency of LMDB using intuitive JavaScript, and is designed to scale... -
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Lingua-Py
The most accurate natural language detection library for Python
Its task is simple: It tells you which language some text is written in. This is very useful as a preprocessing step for linguistic data in natural language processing applications such as text classification and spell checking. Other use cases, for instance, might include routing e-mails to the right geographically located customer service department, based on the e-mails' languages. Language detection is often done as part of large machine learning frameworks or natural language processing... -
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Vratix API Module Library
Easy to use Open Source modules that implement common API logic
We created this library of reusable API modules to simplify API development because we were wasting too much time setting up basic functionality and researching the latest backend best practices. We wanted a repository of high-quality API modules we can reuse, copy and paste into our projects and have a working backend in seconds. Currently, the modules work for Express.js, however, we’re actively working to extend compatibility with other backend languages and popular Node.js frameworks. We would be more than happy for you to contribute and help us achieve this faster. -
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Laravel Pulse
Laravel Pulse is a real-time application performance monitoring tool
...Take the guesswork out of optimizing your queue workers. See real-time and historical stats for how many jobs are pending, how many failed, and how many are processed successfully. See a high-level overview of your application's performance bottlenecks. View the slowest endpoints, queries, jobs, and outgoing requests that are impacting users. -
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Diesel
A safe, extensible ORM and Query Builder for Rust
...We don’t want to waste time tracking down runtime errors. We achieve this by having Diesel eliminate the possibility of incorrect database interactions at compile time. Diesel offers a high level query builder and lets you think about your problems in Rust, not SQL. Our focus on zero-cost abstractions allows Diesel to run your query and load your data even faster than C. Unlike Active Record and other ORMs, Diesel is designed to be abstracted over. Diesel enables you to write reusable code and think in terms of your problem domain and not SQL. -
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Peroxide
Rust numeric library with high performance and friendly syntax
Rust numeric library contains linear algebra, numerical analysis, statistics and machine learning tools with R, MATLAB, Python-like macros. Peroxide uses a 1D data structure to represent matrices, making it straightforward to integrate with BLAS (Basic Linear Algebra Subprograms). This means that Peroxide can guarantee excellent performance for linear algebraic computations by leveraging the optimized routines provided by BLAS. For users familiar with numerical computing libraries like... -
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Nutgram
The Telegram bot framework that doesn't drive you nuts
This framework takes advantage of the latest PHP 8.2 features and tries to make the speed, scalability and flexibility of use its strength, it will allow you to quickly make simple bots, but at the same time, it provides more advanced features to handle even the most complicated flows. The Telegram bot framework doesn't drive you nuts. -
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tigerbeetle
The financial transactions database designed for mission critical safe
TigerBeetle is production-ready on Linux and seamlessly integrated with major programming languages. TigerBeetle is a financial transactions database designed for mission-critical safety and performance to power the next 30 years of OLTP. TigerBeetle redesigns the distributed database storage engine and consensus protocol for the OLTP workload. This solves the problem of OLTP write contention to unlock three orders of magnitude more performance than a general purpose (OLGP) database. The... -
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Taro
Cross-end cross-frame solution that supports the use of frameworks
...Web, React Native, micro-credit programs and other end-to-end programs are popular. When business requirements are required at different ends at the same time, multiple sets of codes are written for different ends. The cost is obviously very high. At this time, the ability to adapt to multiple ends with only one set of codes is extremely needed.
