Search Results for "source code formatter"
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Showing 7 open source projects for "source code formatter"
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Build Data Resilience - Take the Assessment TodayIs your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
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video-use
Edit videos with Claude Code
Video Use is an open-source AI-powered video editing tool that allows users to transform raw footage into polished videos using natural language commands. Designed to work with Claude Code, it automates the entire editing process—from cutting clips to rendering the final output—without requiring manual timelines or complex software interfaces. The system intelligently analyzes audio transcripts and visual cues to make precise, context-aware editing decisions. -
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SeedVR2 Upscaler ComfyUI
Official SeedVR2 Video Upscaler for ComfyUI
ComfyUI-SeedVR2 Video Upscaler is an open-source integration node for the ComfyUI workflow environment that brings the advanced SeedVR2 video upscaling and restoration model directly into visual AI pipelines. This project packages the SeedVR2 architecture as a custom node for ComfyUI, letting users upscale low-resolution video or imagery inside a node-based interface without needing to write code manually. -
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Video Object Remover – Frame-Accurate
🎥 A free & open-source Python tool to remove unwanted objects from videos frame-by-frame using brush masking and AI inpainting (OpenCV + FFmpeg). EXE included.
...The cleaned video is rebuilt and exported with original quality. Includes a precompiled Windows EXE for normal users (no Python required) and full source code for developers or students. Perfect for YouTubers, video editors, educators, and open-source enthusiasts. 🖥️ Website: https://projectworlds.in 📺 YouTube: https://youtube.com/@projectworlds 📬 Support: https://projectworlds.in/contact-us -
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Bulk Image and Audio Merger
Easily pair images with audio file counterparts in bulk
...Simply match your audio files with corresponding images, and let the program handle the rest. Ideal for content creators who need to process multiple audio files without the hassle of manual video editing. Works on Windows 7 and above. (Source code is included with the program .zip file.) -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Seadanse for Blender
Clay pass to Seedance 2.5 video, keeping the camera you keyframed
A Blender extension and an Agent Skill that turn a grey clay pass into a Seedance 2.5 video. Home: https://seadanse.com/tool/blender-to-seedance-2-5 A text prompt cannot say where the camera starts, where it ends, or what blocks what. A blockout says all three. Render a Workbench clay pass from your scene camera, hand it over as the reference, and the take comes back following the path, framing and timing you keyframed. Two ways in, one workflow. The extension installs from disk into... -
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Auto Movie Assembler
Automating making many trailer-like videos with a single click!
...The result is a fully edited trailer that you can directly upload to youtube, showing off pure gameplay footage, attracting attention with an exciting message slide after the first clip and finishing the movie off with an ending slide with a clear call-to-action. Record your clips with ShareX, prepare images/sounds, 2 of each, and run this program to put em all together! (Source code is included with the program .zip file.) -
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DeepFaceLab
The leading software for creating deepfakes
DeepFaceLab is currently the world's leading software for creating deepfakes, with over 95% of deepfake videos created with DeepFaceLab. DeepFaceLab is an open-source deepfake system that enables users to swap the faces on images and on video. It offers an imperative and easy-to-use pipeline that even those without a comprehensive understanding of the deep learning framework or model implementation can use; and yet also provides a flexible and loose coupling structure for those who want to strengthen their own pipeline with other features without having to write complicated boilerplate code.
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