Search Results for "state-thread" - Page 34
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Showing 2735 open source projects for "state-thread"
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TSNE-CUDA
GPU Accelerated t-SNE for CUDA with Python bindings
...Tsnecuda supports CUDA versions 9.0 and later through source installation, check out the wiki for up to date installation instructions. Time taken compared to other state of the art algorithms on synthetic datasets with 50 dimensions and four clusters for varying numbers of points. Note the log scale on both the points and time axis, and that the scale of the x-axis is in thousands of points (thus, the values on the x-axis range from 1K to 10M points. Dashed lines on SkLearn, BH-TSNE, and MULTICORE-4 represent projected times. ... -
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AWS IoT SDK for JavaScript
SDK for connecting to AWS IoT from a device using JavaScript/Node.js
A new AWS IoT Device SDK is now available. It is a complete rework, built to improve reliability, performance, and security. We invite your feedback! The aws-iot-device-sdk.js package allows developers to write JavaScript applications that access the AWS IoT Platform via MQTT or MQTT over the Secure WebSocket Protocol. It can be used in Node.js environments as well as in-browser applications. This package is built on top of mqtt.js and provides three classes: 'device', 'thingShadow' and... -
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Powerline Go
A beautiful and useful low-latency prompt for your shell
A Powerline-like prompt for Bash, ZSH, and Fish. All of the version control systems supported by powerline shell give you a quick look into the state of your repo. The current branch is displayed and changes background color when the branch is dirty. When the local branch differs from the remote, the difference in number of commits is shown along with ⇡ or ⇣ indicating whether a git push or pull is pending. powerline-go uses ANSI color codes, these should nowadays work everywhere, but you may have to set your $TERM to xterm-256color for it to work. ... -
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txtai
Build AI-powered semantic search applications
...Semantic search applications have an understanding of natural language and identify results that have the same meaning, not necessarily the same keywords. Backed by state-of-the-art machine learning models, data is transformed into vector representations for search (also known as embeddings). Innovation is happening at a rapid pace, models can understand concepts in documents, audio, images and more. Machine-learning pipelines to run extractive question-answering, zero-shot labeling, transcription, translation, summarization and text extraction. ... -
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Quasar Framework
Build high-performance VueJS user interfaces in record time
...Build high-performance VueJS user interfaces in record time: responsive Single Page Apps, SSR Apps, PWAs, Browser extensions, Hybrid Mobile Apps and Electron Apps. If you want, all using the same codebase! You get a state-of-the-art UI (that follows Material Guidelines) for your websites and apps out of the box. Best support for desktop and mobile browsers (including iOS Safari!) out of the box. Best-in-class support for each build mode (SPA, SSR, PWA, Mobile app, Desktop app & Browser Extension) and the best developer experience through a tight integration with our own CLI. -
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Conductor
Conductor is an event driven agentic workflow engine for AI agents
...Originally built at Netflix and actively maintained by Orkes and the open-source community, Conductor simplifies complex workflow management by handling retries, failures, state persistence, and long-running process execution automatically. The platform enables developers to orchestrate AI agents, APIs, human approvals, and microservices using flexible JSON-based workflows with dynamic runtime execution. Conductor supports durable execution, deterministic orchestration, workflow replayability, and horizontal scalability, making it suitable for enterprise-grade applications and mission-critical automation. ... -
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Stanza
Stanford NLP Python library for many human languages
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing. Stanza is a Python natural language analysis package. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. ... -
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Luigi
Python module that helps you build complex pipelines of batch jobs
Luigi is a Python (3.6, 3.7, 3.8, 3.9 tested) package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more. The purpose of Luigi is to address all the plumbing typically associated with long-running batch processes. You want to chain many tasks, automate them, and failures will happen. These tasks can be anything, but are typically long running things like Hadoop... -
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fastai
Deep learning library
fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches. It aims to do both things without substantial compromises in ease of use, flexibility, or performance. This is possible thanks to a carefully layered architecture, which expresses common underlying patterns of many deep learning and data processing techniques in terms of decoupled abstractions. ... -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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GLM-4.5V
GLM-4.6V/4.5V/4.1V-Thinking, towards versatile multimodal reasoning
...GLM-4.5V emerged from a training framework that leverages scalable reinforcement learning (with curriculum sampling) to boost performance across tasks ranging from STEM problem solving to long-context reasoning, giving it broad applicability beyond narrow benchmarks. When it was released, it achieved state-of-the-art results on a large collection of public multimodal benchmarks for open-source models. -
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Sa2VA
Official Repo For "Sa2VA: Marrying SAM2 with LLaVA
Sa2VA is a cutting-edge open-source multi-modal large language model (MLLM) developed by ByteDance that unifies dense segmentation, visual understanding, and language-based reasoning across both images and videos. It merges the segmentation power of a state-of-the-art video segmentation model (based on SAM‑2) with the vision-language reasoning capabilities of a strong LLM backbone (derived from models like InternVL2.5 / Qwen-VL series), yielding a system that can answer questions about visual content, perform referring segmentation, and maintain temporal consistency across frames in video. ... -
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HunyuanWorld-Voyager
RGBD video generation model conditioned on camera input
...To support training, the team built a scalable data engine that automatically curates large video datasets with camera pose estimation and metric depth prediction. As a result, Voyager delivers state-of-the-art performance on world exploration benchmarks while maintaining photometric, style, and 3D consistency. -
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SQLBoiler
Generate a Go ORM tailored to your database schema
...Coming over to the Go database/sql package after using ActiveRecord feels extremely repetitive, super long-winded and down-right boring. Being Go veterans we knew the state of ORMs was shaky, and after a quick review we found what our fears confirmed. Most packages out there are code-first, reflect-based and have a very weak story around relationships between models. Work with existing databases: Don't be the tool to define the schema, that's better left to other tools. -
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Bootstrap 5 UI KIT
Bootstrap 5 & Material Design 2.0 UI KIT
...A slideshow component for cycling through elements, images or slides of text, like a carousel. Use MDB custom button styles for actions in forms, dialogs, and more with support for multiple sizes, states, and more. Indicate the loading state of a component or page with MDB spinners, built entirely with HTML, CSS, and no JavaScript. A card is a flexible and extensible content container. It includes options for headers and footers, a wide variety of content, contextual background colors, and powerful display options. -
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GLM-4.6V
GLM-4.6V/4.5V/4.1V-Thinking, towards versatile multimodal reasoning
...Its architecture supports a very large context window (on the order of 128K tokens during training), which lets it handle complex multimodal inputs like long documents, multi-page reports, or video transcripts, while maintaining coherence across extended content. In benchmarks and internal evaluations, GLM-4.6V achieves state-of-the-art (SoTA) performance among models of comparable parameter scale on multimodal reasoning. -
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Qwen3-Omni
Qwen3-omni is a natively end-to-end, omni-modal LLM
...It uses a Thinker-Talker architecture with a Mixture-of-Experts (MoE) design, early text-first pretraining, and mixed multimodal training to support strong performance across all modalities without sacrificing text or image quality. The model supports 119 text languages, 19 speech input languages, and 10 speech output languages. It achieves state-of-the-art results: across 36 audio and audio-visual benchmarks, it hits open-source SOTA on 32 and overall SOTA on 22, outperforming or matching strong closed-source models such as Gemini-2.5 Pro and GPT-4o. To reduce latency, especially in audio/video streaming, Talker predicts discrete speech codecs via a multi-codebook scheme and replaces heavier diffusion approaches. -
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Unity ML-Agents Toolkit
Unity machine learning agents toolkit
Train and embed intelligent agents by leveraging state-of-the-art deep learning technology. Creating responsive and intelligent virtual players and non-playable game characters is hard. Especially when the game is complex. To create intelligent behaviors, developers have had to resort to writing tons of code or using highly specialized tools. With Unity Machine Learning Agents (ML-Agents), you are no longer “coding” emergent behaviors, but rather teaching intelligent agents to “learn” through a combination of deep reinforcement learning and imitation learning. ... -
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reactstrap
Simple React Bootstrap 5 components
...There are a few core concepts to understand in order to make the most out of this library. Your content is expected to be composed via props.children rather than using named props to pass in Components. Attributes in this library are used to pass in-state, conveniently apply modifier classes, enable advanced functionality (like tether), or automatically include non-content-based elements. -
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jarrid-keyper
Keyper by Jarrid is a suite of crypto key management APIs
Keyper by Jarrid is a suite of crypto key management APIs to simplify key creation, management, deployment, and encryption/decryption in a standardized and secure way. Operations are file-based and can be easily automated, tracked, audited, and managed via file-based processes such as GitOps. Fully integrated with cloud KMS services such as AWS KMS or GCP KMS, leverage managed crypto key generation and reduce infrastructure maintenance burden. -
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Fusion library
Futuristic Luau for every universe
Fusion is a lightweight companion library for the Luau programming language designed to simplify application development, particularly for projects built on the Roblox platform. The framework provides tools for organizing program logic into reactive chains of data and state changes, allowing developers to build complex systems using clear and predictable code patterns. Fusion emphasizes a reactive programming style where user interface elements and other components automatically update when underlying state values change. This approach helps developers manage dynamic behaviors without manually updating every dependent variable or interface element. ... -
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Moshi
A speech-text foundation model for real time dialogue
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec. Mimi processes 24 kHz audio, down to a 12.5 Hz representation with a bandwidth of 1.1 kbps, in a fully streaming manner (latency of 80ms, the frame size), yet performs better than existing, non-streaming, codecs like SpeechTokenizer (50 Hz, 4kbps), or SemantiCodec (50 Hz, 1.3kbps). Moshi models two streams of audio: one corresponds to Moshi, and the other one to the user. ... -
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tlaplus
TLC is an explicit state model checker for specifications in TLA+
TLC is an explicit state model checker for specifications written in TLA+. The TLA+Toolbox is an IDE for TLA+. TLA+ is a high-level language for modeling programs and systems--especially concurrent and distributed ones. It's based on the idea that the best way to describe things precisely is with simple mathematics. TLA+ and its tools are useful for eliminating fundamental design errors, which are hard to find and expensive to correct in code. -
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PreCompose
Compose Multiplatform Navigation && State Management
Compose Multiplatform Navigation && ViewModel, inspired by Jetpack Navigation, ViewModel and Lifecycle, PreCompose provides similar (or even the same) components for you but in Kotlin, and it's Kotlin Multiplatform project. -
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AWS X-Ray SDK for Ruby
The official AWS X-Ray Recorder SDK for Ruby
AWS X-Ray recommends using AWS Distro for OpenTelemetry (ADOT) to instrument your application instead of this X-Ray SDK due to its wider range of features and instrumentation. The AWS X-Ray SDK for Ruby is compatible with Ruby 2.3.6 and newer Ruby versions. It has experimental support for JRuby 9.2.0.0 (still forthcoming). To install the Ruby gem for your project, add it to your project Gemfile. You must also add either the Oj or JrJackson gems, for MRI and JRuby respectively, for JSON...
