Training Extensions
open-edge-platform
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
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Results: 120
open-edge-platform
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
open-edge-platform
Build computer vision models in a fraction of the time and with less data.
PrunaAI
Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
xtreme1-io
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
lessthanoptimal
Fast computer vision library for SFM, calibration, fiducials, tracking, image processing, and more.
cvg
Training library for local feature detection and matching
microsoft
Microsoft AI for Good Lab — Biodiversity research hub. Open-source AI models, edge devices, and tools for biodiversity monitoring and conservation. Your source for MegaD…
PetoiCamp
An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics…
griddb
GridDB is a next-generation open source database that makes time series IoT and big data fast,and easy.
tuya
Next-gen AI+IoT framework for T2/T3/T5AI/ESP32/and more – Fast IoT and AI Agent hardware integration
taosdata
High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
index-tts
An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
explosion
💫 Industrial-strength Natural Language Processing (NLP) in Python
WasmEdge
WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedd…
microsoft
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on d…
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