Search Results for "ai local"
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Showing 7 open source projects for "ai local"
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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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Bloom
An open source, agentic Loom alternative
Bloom is an open-source, agent-centric video recording and processing platform designed as a modern alternative to tools like Loom, but with a strong emphasis on AI-driven workflows and programmability. It allows users to record sessions locally while simultaneously preparing those recordings to be processed, indexed, and analyzed by AI systems, effectively turning simple screen captures into structured, queryable data. The project is part of the broader VideoDB ecosystem, which focuses on... -
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AutoCrop-Vertical
Smart video converter using YOLOv8 and FFmpeg
AutoCrop-Vertical is a Python-based video processing tool that automatically converts horizontal videos into vertical formats optimized for social media platforms. It uses computer vision techniques and AI models such as YOLOv8 to analyze each frame, detect subjects, and dynamically adjust cropping decisions. Instead of applying a static center crop, the system intelligently tracks people or key objects to preserve visual focus and composition. When cropping would degrade the scene, it can... -
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Jvedio
Jvedio is a local video management software
Jvedio is a desktop-based local video management system designed to organize and enhance personal media libraries with automation and metadata enrichment. It scans local directories, imports video files, and builds a structured library by extracting unique identifiers and categorizing content automatically. The software supports tagging, filtering, and advanced search, enabling users to manage large collections efficiently. -
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auto-subtitle
Automatically generate and overlay subtitles for any video
...The system can also translate subtitles into English, enabling multilingual accessibility for video content. Once the required models are downloaded, it can operate offline, making it practical for local workflows. Designed for simplicity, it provides a streamlined way to automate subtitle creation without manual transcription effort. -
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Automatic YouTube subtitle generation
Using OpenAI's Whisper to automatically generate YouTube subtitles
Automatic YouTube subtitle generation is a command-line tool that combines YouTube downloading capabilities with AI-powered transcription using Whisper models. It allows users to download videos or audio from YouTube and automatically generate subtitles or transcripts. The tool processes media locally, extracting audio and applying speech recognition to produce accurate text outputs. It supports multiple languages and can handle different Whisper model sizes, balancing performance and... -
6
TimeSformer
The official pytorch implementation of our paper
TimeSformer is a vision transformer architecture for video that extends the standard attention mechanism into spatiotemporal attention. The model alternates attention along spatial and temporal dimensions (or designs variants like divided attention) so that it can capture both appearance and motion cues in video. Because the attention is global across frames, TimeSformer can reason about dependencies across long time spans, not just local neighborhoods. The official implementation in PyTorch... -
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FLocking Walkers (FLOW)
Boids-like walkers with 3d animation
This is a simulator of human self-organized walkers who use local rules to develop flocking and other (hopefully) interesting behaviors. "Flocking" is here used in the sense of Boids-creator Craig Reynolds. A 3d visualization is used to present these behaviors. The main program (computation and visualization) has been written in the DarkBasic language. To ask questions, report bugs etc. email to flockingwalker@gmail.com .
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