Search Results for "high" - Page 18
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Showing 5833 open source projects for "high"
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Scrypted
Scrypted is a high performance video integration and automation
Scrypted is a high-performance home video integration platform and NVR with smart detection capabilities. It is designed to connect and manage camera systems while providing low-latency streaming to platforms such as HomeKit, Google Home, and Alexa. The project supports many camera types and focuses on reliable video integration rather than simple device control alone. -
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Zoo Design Studio
The Zoo Design Studio app
...Users can interact with the system through a familiar point-and-click interface, but every action is translated into code in the underlying modeling language, ensuring consistency between visual and programmatic representations. The application is powered by a GPU-first geometry engine that streams rendered output as video frames, enabling high-performance modeling even when heavy computation is offloaded to remote infrastructure. It uses WebSockets for real-time communication between the client and the modeling engine, allowing immediate feedback and interactive design updates. -
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Composio
Composio equip's your AI agents & LLMs
Empower your AI agents with Composio - a platform for managing and integrating tools with LLMs & AI agents using Function Calling. Equip your agent with high-quality tools & integrations without worrying about authentication, accuracy, and reliability in a single line of code. -
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Lite XL
A lightweight text editor written in Lua
A lightweight, simple, fast, feature-filled, and extremely extensible text editor written in C, and Lua, adapted from lite. -
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Gearboy
Game Boy / Game Boy Color / Super Game Boy emulator, debugger
Gearboy is a high-performance, cross-platform Game Boy emulator written in C++ that focuses on delivering accurate emulation alongside powerful debugging capabilities. It supports Game Boy, Game Boy Color, and Super Game Boy systems, providing a comprehensive solution for handheld console emulation. The emulator includes a wide range of features such as save states, cheat support, and compressed ROM loading, making it suitable for both casual gameplay and advanced use cases. -
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DeepReasoning
High-performance API combining reasoning and creative AI models
DeepReasoning is a high-performance large language model inference API designed to unify advanced reasoning and creative generation capabilities into a single system. It combines DeepSeek R1’s chain-of-thought reasoning with Claude’s strengths in code generation and conversational output, enabling more capable and balanced responses. DeepReasoning provides both an API and a chat interface, allowing developers and users to interact with the combined models in a streamlined way. ... -
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Grafbase
The Grafbase GraphQL Federation Gateway
...Grafbase is designed for large-scale production environments, emphasizing high throughput, low latency, and efficient resource usage through its Rust implementation. The system also includes tools for schema governance, API lifecycle management, and collaboration workflows, helping engineering teams safely evolve complex APIs over time. -
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hls4ml
Machine learning on FPGAs using HLS
...The framework was originally developed for high-energy physics experiments where real-time decision systems must process large volumes of data with strict latency constraints. Over time, it has expanded to support a variety of scientific and industrial applications including signal processing, embedded systems, and biomedical monitoring. -
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FlexLLMGen
Running large language models on a single GPU
FlexLLMGen is an open-source inference engine designed to run large language models efficiently on limited hardware resources such as a single GPU. The system focuses on high-throughput generation workloads where large batches of text must be processed quickly, such as large-scale data extraction or document analysis tasks. Instead of requiring expensive multi-GPU systems, the framework uses techniques such as memory offloading, compression, and optimized batching to run large models on commodity hardware. ... -
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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MaxText
A simple, performant and scalable Jax LLM
MaxText is a high-performance, highly scalable open-source framework designed to train and fine-tune large language models using the JAX ecosystem. The project acts as both a reference implementation and a practical training library that demonstrates best practices for building and scaling transformer-based language models on modern accelerator hardware. -
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FireRed-Image-Edit
General-purpose image editing model that delivers high-fidelity
FireRed-Image-Edit is an open-source general-purpose image editing model and toolset designed to deliver high-fidelity, visually coherent edits across a wide range of editing tasks, from simple object modifications to complex enhancements like restoration and style preservation. It is built on a flexible text-to-image foundation model that has been extended with training paradigms including pretraining, supervised fine-tuning, and reinforcement learning to imbue the system with strong instruction following and editing consistency. ... -
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slime LLM
slime is an LLM post-training framework for RL Scaling
slime is an open-source large language model (LLM) post-training framework developed to support reinforcement learning (RL)-based scaling and high-performance training workflows for advanced LLMs, blending training and rollout modules into an extensible system. It offers a flexible architecture that connects high-throughput training (e.g., via Megatron-LM) with a customizable data generation pipeline, enabling researchers and engineers to iterate on new RL training paradigms effectively. ... -
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Tencent-Hunyuan-Large
Open-source large language model family from Tencent Hunyuan
Tencent-Hunyuan-Large is the flagship open-source large language model family from Tencent Hunyuan, offering both pre-trained and instruct (fine-tuned) variants. It is designed with long-context capabilities, quantization support, and high performance on benchmarks across general reasoning, mathematics, language understanding, and Chinese / multilingual tasks. It aims to provide competitive capability with efficient deployment and inference. FP8 quantization support to reduce memory usage (~50%) while maintaining precision. High benchmarking performance on tasks like MMLU, MATH, CMMLU, C-Eval, etc. -
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Fastify
Fast and low overhead web framework, for Node.js
...Fastify ships with thoughtful defaults like structured logging via Pino and AJV for schema validation, and it has first-class TypeScript types. The result is a server stack that scales to high throughput while remaining easy to reason about in production. -
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pgvector
Open-source vector similarity search for Postgres
pgvector is an open-source PostgreSQL extension that equips PostgreSQL databases with vector data storage, indexing, and similarity search capabilities—ideal for embeddings-based applications like semantic search and recommendations. You can add an index to use approximate nearest neighbor search, which trades some recall for speed. Unlike typical indexes, you will see different results for queries after adding an approximate index. An HNSW index creates a multilayer graph. It has better... -
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AIQuant
AI-powered platform for quantitative trading
...It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use. Stock trading strategies: large models, factor mining, traditional strategies, machine learning, deep learning, reinforcement learning, graph networks, high-frequency trading, etc. Resource summary: network-wide resource summary, practical cases, paper interpretation, and code implementation. -
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Eko
Build Production-ready Agentic Workflow with Natural Language
Eko (Eko Keeps Operating) is a JavaScript framework designed for building production-ready agent-based workflows using natural language commands. It allows developers to create automated agents that can handle complex workflows in both computer and browser environments. With a focus on high development efficiency, Eko simplifies the creation of multi-step workflows, enabling users to integrate and automate tasks across platforms. It provides a unified interface for managing agents, offering features such as web resource access and high task complexity handling. Eko is open-source and can be used to execute tasks like browser automation, system operations, and software testing. -
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Kruise
Automated management of large-scale applications on Kubernetes
OpenKruise is an extended component suite for Kubernetes, which mainly focuses on automated management of large-scale applications, such as deployment, upgrade, ops, and availability protection. Most features provided by OpenKruise are built primarily based on CRD extensions. They can work in pure Kubernetes clusters without any other dependencies. Kubernetes itself has already provided some features for application deployment and management, such as some basic Workloads. However, it is far... -
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Graphile's Crystal Monorepo
Graphile's Crystal Monorepo; home to Grafast, PostGraphile
The next-generation planning and execution engine for GraphQL. Enables greater performance and efficiency via deeper integration into your existing Node.js or remote business logic, no matter the shape of your GraphQL schema. Grafast and PostGraphile V5 are in sponsors-only alpha; sponsor at any tier, then reach out for access. A quick-start project for full-stack application development in React, Node.js, GraphQL and PostgreSQL. At Graphile we love GraphQL so much we named ourself for our... -
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CUDA.jl
CUDA programming in Julia
High-performance GPU programming in a high-level language. JuliaGPU is a GitHub organization created to unify the many packages for programming GPUs in Julia. With its high-level syntax and flexible compiler, Julia is well-positioned to productively program hardware accelerators like GPUs without sacrificing performance. The latest development version of CUDA.jl requires Julia 1.8 or higher. -
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DeepCTR-Torch
Easy-to-use,Modular and Extendible package of deep-learning models
DeepCTR-Torch is an easy-to-use, Modular and Extendible package of deep-learning-based CTR models along with lots of core components layers that can be used to build your own custom model easily.It is compatible with PyTorch.You can use any complex model with model.fit() and model.predict(). With the great success of deep learning, DNN-based techniques have been widely used in CTR estimation tasks. The data in the CTR estimation task usually includes high sparse,high cardinality categorical features and some dense numerical features. Low-order Extractor learns feature interaction through product between vectors. Factorization-Machine and it’s variants are widely used to learn the low-order feature interaction. High-order Extractor learns feature combination through complex neural network functions like MLP, Cross Net, etc. -
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Carmine
Redis client and message queue for Clojure
...Fully documented, API with full support for the latest Redis versions. Industrial strength connection pooling. Composable, first-class command functions. Flexible, high-performance binary-safe serialization using Nippy. Simple, high-performance message queue (v2+, Redis 2.6+). Simple, high-performance distributed lock (v2+, Redis 2.6+). Pluggable compression and encryption support (v2+). Includes Tundra, an API for replicating data to an additional datastore (v2+, Redis 2.6+). You'll usually want to define a single connection pool, and one connection spec for each of your Redis servers. ... -
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Flow Typed
A central repository for Flow library definitions
...To address this, Flow supports library definitions which allow you to describe the interface of a module or library separate from the implementation of that module/library. The flow-typed repo is a collection of high-quality library definitions, tests to ensure that definitions remain high quality, and tools to make it as easy as possible to import them into your project. All you have to do when you add one or more new dependencies to your project is run flow-typed install. -
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BRAID
Themeable design system for the SEEK Group
Braid aims to make cross-brand UI development as fast as possible while maintaining a high level of quality and accessibility. In order to achieve this, Braid provides as a set of React components and CSS variable-based styling themes using vanilla-extract. As much as possible, we want Braid code to make sense to non-developers. We’re aggressively focused on the simplicity and composability of its API. Along with our work on Playroom, our goal is to empower designers and developers to iterate together in the same medium using the same components, reducing the need for high fidelity mock-ups before development starts. ... -
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Silk.NET
About The high-speed OpenGL, OpenCL bindings library
...With an efficient bindings regeneration mechanism, we are committed to ensuring our bindings reflect the latest specifications with monthly updates generated straight from the upstream sources. In addition to providing high-speed, direct, and transparent bindings, we provide high-level utilities and wrappers to maximize productivity in common workloads such as platform-agnostic abstractions around Windowing and Input, bringing your apps to a vast number of platforms without changing a single line! Silk.NET caters for anything you could need in swift development of multimedia, graphics, compute applications. ...
