TranslatedGenerate HD short videos from a topic or keyword with an automated AI workflow.
- python
- tiktok
- ai-video-generator
- content-creation
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TranslatedGenerate HD short videos from a topic or keyword with an automated AI workflow.
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Open-source AI video replacement workflow by TEIN. Combine depth maps, SAM segmentation, face meshes, and audio processing to replace characters and objects with Seedance. Includes a local web UI to prepare inputs, review masks, preview generations, and export with original audio.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Imagination Studio by keys+Wasserman powered by TensorFold: an AI film studio for Mac and NVIDIA DGX Spark. Plan a film like a crew (Slate workflow by Sam Wasserman), render Qwen-Image-2.1 / FLUX3-K pictures and MiniMax H3 / FastH3 video with sound on TensorFold.
ilastik-shell, applets, and workflows to string them together.
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
🎬 AI 视频制作工作流|🧩 Graph · Loop · Workflow · Agent · Skill · Standards 六层方法|9条流程(6正式/3候选)· 3个可运行像素场景 · AI漫画案例|🎨 Blender分层动画方法与嵌套平面合成|📦 原创配乐、18个文字案例与素材中心
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
Auto-QChem is an automated workflow for the generation and storage of DFT calculations for organic molecules.
Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.