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TranslatedUse large AI models and automated workflows to generate HD short videos from a topic or keyword with one click. Generate 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.
Deep Learning for humans
Clone a voice in 5 seconds to generate arbitrary speech in real-time
We write your reusable computer vision tools. 💜
NVR with realtime local object detection for IP cameras
State-of-the-art 2D and 3D Face Analysis Project
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Open standard for machine learning interoperability
Official code for "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
StyleGAN - Official TensorFlow Implementation
Face recognition using Tensorflow
机器学习相关教程
Node-based Visual Programming Toolbox
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
StyleGAN2 - Official TensorFlow Implementation
一款入门级的人脸、视频、文字检测以及识别的项目.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.