Search Results for "nine"
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Showing 32 open source projects for "nine"
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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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Paessler - Monitor Your Whole Network in MinutesWaiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.
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Ian Xiaohei Illustrations
Chinese Little Black Weird Text Illustration Generation Skill
...It is centered on the “Xiaohei” visual character and turns abstract ideas, judgments, metaphors, and workflows into clear editorial images. The skill is not a generic illustration prompt pack, because it gives AI agents a specific visual system to follow. Its default style uses a 16:9 white-background composition with rough hand-drawn lines and small red, orange, or blue annotation marks. It is especially useful for knowledge creators who want recognizable article visuals without designing from scratch. The project works as a reusable creative instruction layer for AI-assisted content production. -
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thinking-orbs
Dotted thought-orb loading indicators for AI & agent UIs
thinking-orbs is a small React package that provides animated dotted status indicators for AI assistants and agent interfaces. It includes nine hand-tuned states representing activities such as working, searching, solving, listening, connecting, weaving, composing, breathing, and shaping. Each animation is drawn with a plain 2D canvas rather than WebGL, SVG filters, or expensive visual effects. Two independently tuned sizes target chat-avatar and inline-text use instead of simply scaling one design. ... -
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AI YouTube Shorts Generator
A python tool that uses GPT-4, FFmpeg, and OpenCV
...It analyzes input video (whether a local file or a YouTube URL), transcribes audio (with optional GPU-accelerated speech-to-text), uses an AI model to identify the most compelling or engaging segments, and then crops/resizes the video and applies subtitle overlays, producing a polished short video without manual editing. The tool streamlines multiple steps of the tedious short-form video workflow: highlight detection, clipping, subtitle generation, cropping to vertical 9:16 format, and final rendering — reducing hours of editing to a mostly automated pipeline. Because it supports both local and online video sources, it's flexible whether you're working with your own recorded content or repurposing existing longer-form videos. -
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Riff
Nine opinionated skills for writing personal essays with Claude
Riff is a development tool designed to enhance coding workflows through AI-assisted features and automation. It provides an environment where developers can interact with code using natural language, enabling faster understanding and modification of projects. The system integrates with language models to generate suggestions, explanations, and improvements based on context. It is built to streamline development processes, reducing the time required for debugging, refactoring, and... -
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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Surya
Implementation of the Surya Foundation Model for Heliophysics
Surya is an open‑source, AI‑based foundation model for heliophysics developed collaboratively by NASA (via the IMPACT AI team) and IBM. Named after the Sanskrit word for “sun,” Surya is trained on nine years of high‑resolution solar imagery from NASA’s Solar Dynamics Observatory (SDO). It is designed to forecast solar phenomena—such as flares, solar wind, irradiance, and active region behavior—by predicting future solar images with a sophisticated long–short vision transformer architecture, thereby enabling improved space weather forecasting. ... -
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PML
The easiest way to use deep metric learning in your application
This library contains 9 modules, each of which can be used independently within your existing codebase, or combined together for a complete train/test workflow. To compute the loss in your training loop, pass in the embeddings computed by your model, and the corresponding labels. The embeddings should have size (N, embedding_size), and the labels should have size (N), where N is the batch size. -
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GluonTS
Probabilistic time series modeling in Python
...The dataset consists of a single time-series, containing monthly international passengers between the years 1949 and 1960, a total of 144 values (12 years * 12 months). We split the dataset into train and test parts, by removing the last three years (36 months) from the train data. Thus, we will train a model on just the first nine years of data. Python has the notion of extras – dependencies that can be optionally installed to unlock certain features of a package. We make extensive use of optional dependencies in GluonTS to keep the amount of required dependencies minimal. To still allow users to opt-in to certain features, we expose many extra dependencies. -
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Admin365 AI Re-Edition
TechNews365 OS Admin AI intègre un Assistant Vocal IA 100% local !
...Elle offre un environnement stable, léger et structuré pour les outils professionnels. Système : Mint 22.3 Cinnamon, kernel 7.0 stable, support UEFI/Legacy, live session + installation, menus optimisés. Compatibilité Windows : Wine 9.x préconfiguré, Winetricks intégré, préfixe 64‑bit optimisé, support des applications Windows pro, tests installation/exécution validés. WinBoat : environnement Windows conteneurisé via Docker + RDP, isolation complète, compatible Cinnamon, installation et lancement validés. IA : Ollama + Phi‑3, Assistant Vocal IA (Whisper), Page Assist, Murmure . ... -
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Gemini of Death is a desktop coding assistant with GUI powered by the Googles Gemini API. Users supply their own API key — all billing is handled directly with Google.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Qwen of Death is a desktop coding assistant with GUI powered by the Qwen API. Users supply their own API key — all billing is handled directly with Openrouter.ai.
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TagForge
Cross-platform AI tagging and prompt engineering studio
TagForge is a professional, cross-platform desktop application for AI prompt engineering and image tagging. Built on .NET 9 and Avalonia UI, it provides a sleek, high-performance workspace for crafting perfect prompts for Stable Diffusion, FLUX, Midjourney, and other generative AI models. ## Key Capabilities - Multi-model tagging: Specialized generators for Stable Diffusion (tags), FLUX/Midjourney (prose), and custom LLM workflows - Multimodal vision: Extract metadata or generate descriptive captions directly from images - Contextual chat assistant: Persistent, coding-capable AI helper with real-time provider features - Persona system: Create custom identities with dynamic input injection and role-based templates - Chat rules: Modular behavioral controls (Concise, Detailed, etc.) with CRUD interface - Agent orchestrator: Centralized management of API keys, endpoints, and model parameters -
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Grok of Death is a desktop coding assistant with GUI powered by the Grok API. Users supply their own API key — all billing is handled directly with xAI.
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GPT of Death is a desktop coding assistant with GUI powered by the OpenAI API. Users supply their own API key — all billing is handled directly with OpenAI.
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Claude of Death is a desktop coding assistant with GUI powered by the Anthropic Claude API. Users supply their own API key — all billing is handled directly with Anthropic.
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Dead Deer 3.14.92.2026
3D modeler, 3D game maker, 3D demo maker
3D modeler, 3D game maker, 3D demo maker. to model and create games, demos. Scripting language allows you to code interactions in pseudo-C with the animation and synthesize your own rendering with own-made shaders. Import FBX, BLEND, GLTF, OBJ, 3DS, DAE, X, XML, STL, PCB, ASC, PLY, GSPLATS. Cross-platform project WINDOWS 32/64 /MACOSX 10.6/ 10.8+/APPLSilicon /LINUX/iOS/ANDROID/WINDOWS PHONE/GOOGLE VR/OPEN VR/OCULUS VR/WEBASM/UWP8/10/OPENXR, PIs (ARM32/64), RISCV Players and... -
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H9A
H9A counts how many times a digit appears in any range, instantly.
H9A is an installable Python package that counts how many times a given digit appears in a range of numbers (by default: the digit 9 between 1 and 100). It provides both a h9a command-line tool and an importable library, and it prints each step of the calculation — the per-place counts and the combined total — as styled, colorized output. It is built with rich for console formatting, pyfiglet for an ASCII-art banner, and Pillow for optional terminal-style screenshots. -
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StudioGAN
StudioGAN is a Pytorch library providing implementations of networks
...The benchmark includes results from GANs (BigGAN-Deep, StyleGAN-XL), auto-regressive models (MaskGIT, RQ-Transformer), and Diffusion models (LSGM++, CLD-SGM, ADM-G-U). StudioGAN is a self-contained library that provides 7 GAN architectures, 9 conditioning methods, 4 adversarial losses, 13 regularization modules, 6 augmentation modules, 8 evaluation metrics, and 5 evaluation backbones. Among these configurations, we formulate 30 GANs as representatives. Each modularized option is managed through a configuration system that works through a YAML file. -
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Image GPT
Large-scale autoregressive pixel model for image generation by OpenAI
...It provides scripts to download pretrained checkpoints of different model sizes (small, medium, large) trained on large-scale datasets and includes utilities for handling color quantization with a 9-bit palette. Researchers can use the code to sample new images, evaluate generative loss on datasets like ImageNet or CIFAR-10, and explore the impact of scaling on performance. While the repository is archived and provided as-is, it remains a valuable starting point for experimenting with autoregressive transformers applied directly to raw pixel data. ... -
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Turi Create
Simplifies the development of custom machine learning models
...The package User Guide and API Docs contain more details on how to use Turi Create. If you want to build Turi Create from source, see BUILD.md. Turi Create does not require a GPU, but certain models can be accelerated 9-13x by utilizing a GPU. -
20
Text to Speech for Video
create wav files for video character speech by typing in dialogue
Choose from the "voices" available, and type in what you want the computer to say. A wave file called sounds.wav is stored to the output sub folder. Output is intended primarily for users who need speech for animated characters in videos. -
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LWPR
Locally Weighted Projection Regression (LWPR)
...Please cite: [1] Sethu Vijayakumar, Aaron D'Souza and Stefan Schaal, Incremental Online Learning in High Dimensions, Neural Computation, vol. 17, no. 12, pp. 2602-2634 (2005). [2] Stefan Klanke, Sethu Vijayakumar and Stefan Schaal, A Library for Locally Weighted Projection Regression, Journal of Machine Learning Research (JMLR), vol. 9, pp. 623--626 (2008). More details and usage guidelines on the code website. -
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S.T.A.N Voice Recognition Software
a software like J.A.R.V.I.S!!
Hello everyone! I am presenting a software named S.T.A.N, a voice recognition software which recognizes your voice and performs actions like from opening to facebook to renaming, copying a file, creating a folder and many more! This software has over 50+ commands to perform by just listening to your voice! so just download it and check it out. Your comments and feedback is valuable to us. And if you like, please like our facebook page and mail us! -
23
NN Image Recognition (with source-code)
This is ANN trained application to predict digits from 0 - 9.
It can predict digits from 0-9 with Artificial Neural Network. I trained ANN with 100 samples of each digit. It takes input of 20x20 pixel image and predicts it with Neural Network. It may predict wrong digit due to very low sample data but it work 90% correctly. Note: JRE 1.6 is required to run this application. -
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Forth auf dem Kleincomputer
Source Code for eBook ISBN 978-3-907857-19-9
An dieser Stelle sind die Source Codes zu den Titeln "Forth auf dem Kleincomputer" und "Messen und Steuern mit Forth auf dem Kleincomputer" abgelegt. Der Source Code ist hier teilweise im Fileformat abgelegt, da er aus den alten Quellen durch OCR wieder rekonstruiert wurde. Zur Konvertierung in das Blockformat sind Tools vorhanden. Weitere Beiträge zu Forth sind auf der zugeordneten Webseite als PDF zum Download bereitgestellt. -
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romanize
Romanizing 9 Indian languages (Unicode) to English alphabets
...Compared to the existing schemes of romanizations, this project focuses on few main points - Readability, easy typability, English alphabet combinations only, incoporations with existing popular schemes, phonetically equivallent transliterations and most importantly non-ambiguity across the languages (9) using the same transliteration mapping set.