把 ONNX、PyTorch、Keras、CoreML 等格式的神经网络模型直接拖进浏览器就能看结构图，排查模型转换和层连接问题很方便。
用 Python 把数据和 AI 算法快速封装成可上生产环境的 Web 应用，内置数据集成、可视化、任务调度和 MLOps 编排能力。
分布式 AI 计算引擎，提供核心分布式运行时和一组 AI 库，用来加速机器学习负载、大模型推理与超参搜索。
…ce segmentation (segment-everything) converted to Core ML, FP16. FastSAM-s (light, ~23 MB) and FastSAM-x (quality, ~138 MB). YOLOv8-seg architecture; outputs boxes + scor
First CoreML port of hexgrad/Kokoro-82M with on-device bilingual (English + Japanese) free-text input. Contains: Predictor (flexible 1-256 phonemes) + Decoder buckets (12
4 CoreML models for Hyper-SD 1-step text-to-image (SD1.5 base + ByteDance Hyper-SD LoRA fused, 512×512 output, ~947 MB total). - HyperSDTextEncoder.mlpackage.zip (216 MB,
What's Changed New Features - [CoreEngine/MLOps] Supported LLM record logging. - [Serving] Made the inference backend for deepspeed work. - [CoreEngine/DevOps] Made the p
What's Changed New Features - [CoreEngine/MLOps] Introducing the FedML OTA (Over-the-Air) upgrade mechanism for the training platform and serving platform. - [Documents]
What's Changed New Features - [CoreEngine/MLOps] Refactor the entire serving platform to make it run more smoothly on the Kubernetes cluster. Bug Fixes - [Training] The t