Search Results for "latency" - Page 17
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Showing 661 open source projects for "latency"
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JDiskMark
Java Disk Benchmark Utility
JDiskMark is a powerful and versatile disk benchmarking tool written in Java, designed to help measure the performance and health of your storage drives. Whether you're testing HDDs, SSDs, or network locations, JDiskMark provides reliable insights into your disk's read and write... -
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director-ai
Real-time LLM hallucination guardrail — NLI + RAG fact-checking
...Core capabilities: - Token-level streaming halt: stops generation the moment hallucination is detected - NLI scoring via DeBERTa/FactCG: 75.8% balanced accuracy on 29,320 LLM-AggreFact samples - RAG knowledge grounding: vector store integration with Chroma, FAISS, Pinecone, Weaviate, Qdrant, Elasticsearch - 14.6ms GPU latency (GTX 1060, ONNX), 0.5ms/pair on L40S FP16 - Rust-accelerated BM25 (10.2x speedup) and signal processing Integrations: LangChain, LlamaIndex, LangGraph, CrewAI, Haystack, DSPy, Semantic Kernel, SDK Guard (OpenAI/Anthropic/Bedrock/Gemini/Cohere) Domain presets: medical, finance, legal, customer support, summarisation, creative Security: Sigstore-signed, SLSA provenance, OpenSSF Best Practices (100%), AGPL-3.0 with commercial licensing pip install director-ai https://github.com/anulum/director-ai -
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CodinIT.dev
Free, local, open-source AI app builder
...A natural-language API enables powerful data queries and updates, automating tasks without leaving the chat interface. By running entirely locally, CodinIT.dev delivers maximum privacy, minimal latency, and smooth developer experiences free from cloud-based inconsistencies. -
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MediaPipe Face Detection
Detect faces in an image
The MediaPipe Face Detection model is a high-performance, real-time face detection solution that uses machine learning to identify faces in images and video streams. It is optimized for mobile and embedded platforms, offering fast and accurate face detection while maintaining a small memory footprint. This model supports multiple face detections and is highly efficient, making it suitable for a variety of applications such as augmented reality, user authentication, and facial expression analysis. -
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Mindwtr
A complete Getting Things Done (GTD) productivity system for desktop a
Mindwtr: The Privacy-First GTD System Mindwtr is a Getting Things Done (GTD) productivity tool designed for "Mind Like Water." It runs completely offline—no accounts, no tracking, and no subscriptions. The Core GTD Workflow Capture: Instantly offload thoughts to your Inbox. Clarify: Process tasks rapidly with the built-in "2-Minute Rule" timer. Organize: Sort tasks by Contexts (@work, @home), Areas, and Projects. Reflect: Keep your system trustworthy with a guided Weekly... -
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Competent Audio
Machine graph audio engine for computer games
Competent Audio (CA) is an audio engine suitable for video games. It is written in C, but is designed for interoperability with other languages. Windows and Linux binaries for x86 and amd64 are available. CA uses a machine graph model with support for arbitrary numbers of machines, limited only by the available system resources: - Samplers play back audio clips. - Mixers combine audio signals and optionally perform signal processing. - Sinks send audio signals to an output... -
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Linpac
Amateur Radio AX.25 chat and PBBS program using Linux's AX.25 stack
A modular console-oriented amateur radio AX.25 keyboard to keyboard chat and PBBS program using Linux's AX.25 stack. Includes support for multiple concurrent connected sessions, a unconnected (UI) message screen, and an automated packet message client -
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LSJ-Server
LSJ-Server-Terra (Java Multipurpose Sever connected with MariaDB)
...[Features] Pure Java & MariaDB: Fast data processing & persistence. Real-time Monitoring: GUI for live logs and user management. Optimized Networking: Low-latency TCP/IP support. [How to Use] Config: Set MariaDB and Port (default: 10815). Control: Use 'Start' and 'Stop' buttons. Manage: Monitor logs/users and use the bottom command field. https://github.com/s1213123/LSJ-Server/ -
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trimwise
Query-aware prompt compression for high-signal LLM prompts.
Trimwise is an extractive Python library for the step between collecting text and assembling a prompt. Give it a document, a maximum size, and optionally the task you care about. It selects useful fragments from across the document, returns them in source order, and guarantees that the measured result stays within your token, word, or character limit. This is especially useful when an agent has several sources but cannot place every source in the context window. Instead of taking the... -
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LombokCharts
Canvas and SVG renderers, LTTB decimation,real-time streaming layer
LombokCharts A zero-dependency charting library for the browser. It pairs a small grammar-of-graphics core (Data → Scale → Mark) with pluggable Canvas and SVG renderers, LTTB decimation, and a real-time streaming layer — so the same API draws a five-point bar chart or a five-million-point line without changing shape. -
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Kweb
A Kotlin web framework
...With Kweb, you can create and manipulate DOM elements, and listen for and handle events, all using an intuitive Kotlin DSL that mirrors the structure of the HTML being created. Kweb is built on the Ktor framework, which handles HTTP, HTTPS, and WebSocket transport, and is optimized to minimize latency and resource usage on both the server and browser. -
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Engine.IO
Transport-based cross-browser bi-directional communication layer
...The client will try to establish a WebSocket connection if possible, and will fall back on HTTP long polling if not. WebSocket is a communication protocol which provides a full-duplex and low-latency channel between the server and the browser. -
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Fishjam
General purpose media server. Supports WebRTC, HLS, RTSP, SIP
Fishjam is a real-time multimedia streaming toolkit for building low-latency video and audio applications. The GitHub repository refers to the original open-source Fishjam media server, which was a general-purpose media server written in Elixir and is no longer actively maintained. The broader Fishjam project has since evolved into a platform for WebRTC-based live video, audio, and messaging infrastructure. -
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FASTER
Fast persistent recoverable log and key-value store + cache
...It also supports consistent recovery using a new checkpointing technique that lets applications trade-off performance for commit latency. -
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CodeLlama
Inference code for CodeLlama models
Code Llama is a family of Llama-based code models optimized for programming tasks such as code generation, completion, and repair, with variants specialized for base coding, Python, and instruction following. The repo documents the sizes and capabilities (e.g., 7B, 13B, 34B) and highlights features like infilling and large input context to support real IDE workflows. It targets both general software synthesis and language-specific productivity, offering strong performance among open models... -
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Pezzo
Open-source, developer-first LLMOps platform
...Pezzo is a fully cloud-native and open-source LLMOps platform. Seamlessly observe and monitor your AI operations, troubleshoot issues, save up to 90% on costs and latency, collaborate and manage your prompts in one place, and instantly deliver AI changes. -
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HStreamDB
HStreamDB is an open-source, cloud-native streaming database
HStreamDB is an open-source, cloud-native streaming database for IoT and beyond. Modernize your data stack for real-time applications. By subscribing to streams in HStreamDB, any update of the data stream will be pushed to your apps in real-time, and this promotes your apps to be more responsive. You can also replace message brokers with HStreamDB and everything you do with message brokers can be done better with HStreamDB. HStreamDB provides built-in support for event time-based stream... -
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Emoji Mart
One component to pick them all
Data required for the picker to work has been completely decoupled from the library. That gives developers the flexibility to better control their app bundle size and let them choose how and when this data is loaded. Callback when the Add custom emoji button is clicked. The button will only be displayed if this callback is provided. It is displayed when search returns no results. You can use custom emojis by providing an array of categories and their emojis. Emojis also support multiple skin... -
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VCClient
Software that uses AI to perform real-time voice conversion
VCClient is a real-time voice conversion system that uses machine learning models to transform a speaker’s voice into another voice with minimal latency. It is designed for live applications such as streaming, gaming, and virtual communication, where immediate feedback is essential. The system supports multiple voice conversion models, including RVC and other neural network-based approaches, allowing users to switch between different voices or customize their output. It provides both a graphical user interface and API access, making it suitable for casual users as well as developers who want to integrate voice transformation into their own applications. ... -
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Xfl
An Efficient and Easy-to-use Federated Learning Framework
XFL is a lightweight, high-performance federated learning framework supporting both horizontal and vertical FL. It integrates homomorphic encryption, DP, secure MPC, and optimizes network resilience. Compatible with major ML libraries and deployable via Docker or Conda. -
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Curve
Curve is a sandbox project hosted by the CNCF Foundation
...The performance, mixed, capacity cloud disk or persistent volume of virtual machine/container, and remote disks of physical machines. High-performance separation of storage and computation architecture: high-performance and low latency architecture based on RDMA+SPDK, supporting the separation deployment structure of various databases such as MySQL and Kafka. -
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OnnxStream
Lightweight inference library for ONNX files, written in C++
...The recommended minimum RAM/VRAM for Stable Diffusion 1.5 is typically 8GB. Generally, major machine learning frameworks and libraries are focused on minimizing inference latency and/or maximizing throughput, all of which at the cost of RAM usage. So I decided to write a super small and hackable inference library specifically focused on minimizing memory consumption: OnnxStream. OnnxStream is based on the idea of decoupling the inference engine from the component responsible for providing the model weights, which is a class derived from WeightsProvider. ... -
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Zoekt
Fast trigram based code search
zoekt is a fast, scalable code search engine written in Go that builds compressed indexes (shards) for source repositories and serves low-latency regex and substring queries. It optimizes for developer workflows: refresh indexes from Git, search across many repos instantly, and jump into hits with surrounding context and file navigation. The indexer uses efficient n-gram dictionaries and posting lists to keep query latency low, while storing metadata (branch, language, repo) for precise filtering. ... -
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Emitter
High performance, distributed, low latency publish-subscribe platform
...The simple and efficient messaging platform for all of your gaming, IoT and web apps. Emitter can be used for online gaming and mobile apps by satisfying the requirements for low latency, binary messaging, and high throughput. It can also be used for real-time web applications such as dashboards or visual analytics or chat systems. Moreover, Emitter is perfect for the internet of things and allows sensors to be controlled and data gathered and analyzed. Built to handle millions of messages per second and to scale horizontally. ... -
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data-diff
Efficiently diff rows across two different databases
...In modern data platforms, data is constantly moving between systems, and at the modern data volume and complexity, systems go out of sync all the time. Until now, there has not been any tooling to ensure that when the data is correctly copied. Replicating data at scale, across hundreds of tables, with low latency and at a reasonable infrastructure cost is a hard problem, and most data teams we’ve talked to, have faced data quality issues in their replication processes. The hard truth is that the quality of the replication is the quality of the data. Since copying entire datasets in batch is often infeasible at the modern data scale, businesses rely on the Change Data Capture (CDC) approach of replicating data using a continuous stream of updates.
