Ecosystem & Stack: tensorflow

A complete and local Network Video Recorder (NVR) with real-time AI object detection for IP cameras, tightly integrated with Home Assistant.

An open-source, modern-design AI training tracking and visualization tool that integrates with 50+ mainstream frameworks, simplifying experiment management for AI teams.

Deep Lake is an AI data runtime and database optimized for deep learning, offering multimodal data storage, querying, vector search, and streaming for LLM and deep learning applications.

OpenVINO is an open-source toolkit designed to optimize and deploy deep learning models for efficient AI inference across diverse hardware platforms, from edge to cloud.

A lightweight library providing a vast hub of ready-to-use datasets and efficient tools for data manipulation in AI and machine learning workflows.

A Python library for representing, transmitting, storing, and retrieving multimodal data, designed for AI applications.

UER-py is an open-source PyTorch-based framework for pre-training and fine-tuning NLP models, offering modularity, extensibility, and a comprehensive model zoo.

TensorFlowTTS provides real-time, state-of-the-art speech synthesis architectures based on TensorFlow 2, supporting multiple languages and optimized for fast inference and deployment on various devices.

A deep learning library for advanced Text-to-Speech generation, offering high-quality speech synthesis with pretrained models and multi-language support.