Search Results for "clips"
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Showing 106 open source projects for "clips"
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MyFun for CLIPS
DB-Library functions which provides a MySQL interface for CLIPS
We have developed some DB-Library functions which provides a MySQL interface for CLIPS Rule Based Programming Language. See https://sourceforge.net/p/myfun-for-clips/code/HEAD/tree/63x-MyFun/Readme.md for more details. The latest snapshot is downloadable from https://sourceforge.net/p/myfun-for-clips/code/HEAD/tree/63x-MyFun/. -
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PqFun for CLIPS
DB-Library functions which provides a PostgreSQL interface for CLIPS
We have developed some DB-Library functions which provides a PostgreSQL interface via libpq for CLIPS Rule Based Programming Language. See https://sourceforge.net/p/pqfun-for-clips/code/HEAD/tree/63x-PqFun/Readme.md for more details. The latest snapshot is downloadable from https://sourceforge.net/p/pqfun-for-clips/code/HEAD/tree/63x-PqFun/. -
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LTX-2.3
Official Python inference and LoRA trainer package
...This unified approach allows creators to generate complete multimedia sequences where motion, timing, and sound are aligned automatically. LTX-2 is designed for both research and production workflows and can generate high-resolution video clips with precise control over structure, motion, and camera behavior. -
4
VideoRAG
"VideoRAG: Chat with Your Videos
VideoRAG is a retrieval-augmented generation (RAG) framework tailored for video content that enables AI systems to answer questions, summarize, and reason over long videos by combining visual embeddings with contextual search. The system works by first breaking video into clips, extracting visual and audio-textual features, and indexing them into embeddings, then using an LLM with a retriever to pull relevant segments on demand. When a user query is received, VideoRAG locates semantically relevant moments in the video using the embedding index, retrieves associated clips or transcripts, and feeds them to a generative model to produce accurate, grounded answers or summaries. ... -
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AutoClip
AI-powered video clipping and highlight generation
AutoClip is an open-source, AI-powered video processing system designed to automate the extraction of “highlight” segments from full-length videos — ideal for creators who want to generate bite-sized clips, compilations, or highlight reels without manually sifting through hours of footage. The system supports downloading videos from major platforms (e.g. YouTube, Bilibili), or accepting local uploads, and then applies AI analysis to identify segments worth clipping based on content (e.g. high energy moments, speech, or other heuristics). ... -
6
Voicebox
The open-source voice synthesis studio powered by Qwen3-TTS
...A standout capability is its multi-track timeline editor and supporting audio tools (like trimming and conversation mixing), which let creators compose multi-voice scenes instead of generating single clips in isolation. It is API-first, meaning you can use it as an app for production work or integrate its speech generation into your own software via an API layer. -
7
VGGT
[CVPR 2025 Best Paper Award] VGGT
VGGT is a transformer-based framework aimed at unifying classic visual geometry tasks—such as depth estimation, camera pose recovery, point tracking, and correspondence—under a single model. Rather than training separate networks per task, it shares an encoder and leverages geometric heads/decoders to infer structure and motion from images or short clips. The design emphasizes consistent geometric reasoning: outputs from one head (e.g., correspondences or tracks) reinforce others (e.g., pose or depth), making the system more robust to challenging viewpoints and textures. The repo provides inference pipelines to estimate geometry from monocular inputs, stereo pairs, or brief sequences, together with evaluation harnesses for common geometry benchmarks. ... -
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OpenShot Video Editor
Award-Winning Open Source Video Editing Software
OpenShot Video Editor is a powerful yet very simple and easy-to-use video editor that delivers high quality video editing and animation solutions. OpenShot offers a myriad of features and capabilities, including powerful curve-based Key frame animations, 3D animated titles and effects, slow motion and time effects, audio mixing and editing, and so much more. It’s available for Linux, Mac and Windows, with a very simple and friendly interface. Start creating stunning videos quickly and easily... -
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CLIPS Rule Based Programming Language
Expert System Tool
CLIPS is a forward-chaining rule-based programming language written in C that also provides procedural and object-oriented programming facilities. -
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VoxCPM
TTS for Context-Aware Speech Generation and True-to-Life Voice Cloning
VoxCPM is a tokenizer-free text-to-speech system that models speech in a continuous space, aiming for extremely realistic, context-aware synthesis and true-to-life zero-shot voice cloning. Instead of converting speech into discrete tokens, it uses an end-to-end diffusion-autoregressive architecture built on the MiniCPM-4 backbone, combining hierarchical language modeling, finite scalar quantization (FSQ), and local Diffusion Transformers. This design helps decouple semantic and acoustic... -
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yt-dlp
A youtube-dl fork with additional features and fixes
yt-dlp is a youtube-dl fork based on the now inactive youtube-dlc. The main focus of this project is adding new features and patches while also keeping up to date with the original project -
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Real-Time Voice Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
...It implements the SV2TTS pipeline (“Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis”) in three stages: a speaker encoder, a synthesizer, and a vocoder. In the first stage, short audio clips are converted into a fixed-dimensional speaker embedding that captures voice characteristics; this embedding is then used by a Tacotron-style synthesizer to generate spectrograms from text, which a WaveRNN-based vocoder finally turns into audio. The repo includes both a command-line demo and a graphical “toolbox” application where you can load reference voices, type text, and hear the synthesized results interactively. ... -
13
AutoCut
Cut videos with a text editor
...AutoCut supports multiple transcription backends, including Whisper and faster-whisper modes, allowing users to choose based on speed or accuracy needs. After editing the transcript text, the corresponding video clips are merged into the final output, and the tool also produces matching subtitle files. Its command-line interface can be integrated into scripts, making it suitable for automated workflows or batch processing. -
14
AudioCraft
Audiocraft is a library for audio processing and generation
...Both models operate over discrete audio tokens produced by a neural codec (EnCodec), which acts like a tokenizer for waveforms and enables efficient sequence modeling. The repo provides inference scripts, checkpoints, and simple Python APIs so you can generate clips from prompts or incorporate the models into applications. It also contains training code and recipes, so researchers can fine-tune on custom data or explore new objectives without building infrastructure from scratch. Example notebooks, CLI tools, and audio utilities help with prompt design, conditioning on reference audio, and post-processing to produce ready-to-share outputs. -
15
F1 Race Replay
An interactive Formula 1 race visualisation and data analysis tool
F1 Race Replay is an interactive replay viewer that lets users watch and analyze recorded Formula 1 race sessions with precise control over camera angles, timing, and telemetry overlay, offering a rich experience beyond standard broadcast replays. It ingests official timing and positional data, then renders vehicle movements through track maps and 3D visualizations so fans, analysts, and engineers can review strategy, overtakes, tire degradation effects, and pit stop impacts in detail. Users... -
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Short Video Factory
AI tool for automatic batch short video creation and editing
Short Video Factory is an open source desktop application designed to simplify the creation of short-form videos using AI-driven automation. It enables users to generate product marketing clips and general content videos by combining simple prompt-based input with pre-prepared media assets. Short Video Factory integrates multiple stages of video production, including script generation, voice synthesis, video editing, and subtitle effects, into a single streamlined workflow. By leveraging AI technologies, it significantly reduces the manual effort required to produce high-quality short videos at scale. ... -
17
Peinture
A general-purpose AI image generation framework that supports HF
...It not only generates images from prompts but also includes tools to edit those images after creation, with features like selection tools and reference image support that let you refine artwork in place. The interface supports live motion edits that turn static images into short cinematic clips, prompt enhancement for expanding simple ideas into detailed scenes, and a cloud-friendly storage system that syncs work across devices if configured. -
18
StoryGen Atelier
AI-assisted storyboard and video generation tool
...Users begin with natural language descriptions of their story or scene, and the system uses state-of-the-art large models to generate both the script and corresponding frames. Once individual frames are created, a second AI model generates transition clips that smoothly link the frames into a coherent short video sequence, and the tool then assembles everything into a finished video using standard video processing tools. This pipeline transforms abstract creative ideas into shareable visual narratives, offering a powerful workflow for writers, filmmakers, content creators, and educators alike. -
19
Sora.FM
Sora AI Video Generator by Sora.FM
...The project belongs to the growing class of “AI video generator / AI-assisted content creation” tools: it may use model-based generation, template-based editing, or combine video assets with generative models to automate parts of video creation or editing. For creators wanting to explore AI-based content generation — for example automated video clips, short-form media, or other generated video content — sorafm offers a starting point. As with many open-source generators in this space, the tradeoff lies in balancing ease-of-use and the limitations of generative output, but the fact that it’s publicly available means users can experiment, iterate, or fork to adapt pipelines: maybe customizing model prompts, video templates, or post-processing. -
20
ImAnim
Animation Engine for Dear ImGui
...It lets developers add rich, smooth animations to user interface elements with minimal boilerplate, matching the responsive nature of ImGui without introducing heavy external dependencies. Support for a wide range of easing functions, tweens, and keyframe clips gives fine-grained control over value transitions like position, scale, opacity, and color. Because it is built to complement ImGui’s design, ImAnim integrates naturally into existing render loops and retains the performance and simplicity that make ImGui popular for tools and development UIs. The project includes examples and demos demonstrating hover effects, timeline control, procedural motion, and complex sequences, making it easier for developers to explore its capabilities. ... -
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AI YouTube Shorts Generator
A python tool that uses GPT-4, FFmpeg, and OpenCV
AI-YouTube-Shorts-Generator is a Python-based tool that automates the creation of short-form vertical video clips (“shorts”) from longer source videos — ideal for adapting content for platforms like YouTube Shorts, Instagram Reels, or TikTok. 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. ... -
22
Auto Synced & Translated Dubs
Automatically translates the text of a video based on a subtitle file
...The tool then time-stretches or compresses each TTS clip to match the original speech duration exactly, which preserves lip-sync and rhythm as closely as possible without manual editing. Finally, it combines all the clips into a single dubbed audio track that can be muxed with the original video, along with new translated subtitle files. -
23
vJEPA-2
PyTorch code and models for VJEPA2 self-supervised learning from video
...This objective encourages the model to learn semantics, motion, and long-range structure without the shortcuts that pixel-level losses can invite. The architecture is designed to scale: spatiotemporal ViT backbones, flexible masking schedules, and efficient sampling let it train on long clips while remaining stable. Trained representations transfer well to downstream tasks such as action recognition, temporal localization, and video retrieval, often with simple linear probes or light fine-tuning. The repository typically includes end-to-end recipes—data pipelines, augmentation policies, training scripts, and evaluation harnesses. -
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MARS5
MARS5 speech model (TTS) from CAMB.AI
MARS5-TTS is CAMB.AI’s open-source English speech model designed for high-quality text-to-speech and voice emulation. It uses a two-stage architecture that combines an autoregressive (AR) model with a non-autoregressive (NAR) model, giving it both expressiveness and speed. The model is built to handle prosodically challenging content such as sports commentary, anime dialogue, and other high-energy or highly varied speech patterns with realistic rhythm and intonation. To control speaker... -
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Qwen2-Audio
Repo of Qwen2-Audio chat & pretrained large audio language model
Qwen2-Audio is a large audio-language model by Alibaba Cloud, part of the Qwen series. It is trained to accept various audio signal inputs (including speech, sounds, etc.) and perform both voice chat and audio analysis, producing textual responses. It supports two major modes: Voice Chat (interactive voice only input) and Audio Analysis (audio + text instructions), with both base and instruction-tuned models. It is evaluated on many benchmarks (speech recognition, translation, sound...
