Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Distributed ML Training and Fine-Tuning on Kubernetes

Automated Machine Learning on Kubernetes

The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

Go binding for Pytorch C++ API (libtorch)

Securely share and store AI/ML projects as OCI artifacts in your container registry.

Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)

LibTorch (PyTorch) bindings for Golang

Experiment tracking server focused on speed and scalability

Machine learning operator & controller for Kubernetes

golang libtorch binding

GPU scheduler for elastic/distributed deep learning workloads in Kubernetes cluster (IC2E'23)

emergent GUI and other support for pytorch networks: provides a NetView for torch networks

High-speed Deep learning API Server with Libtorch (C++) and Gin (Golang)

PyTorch in Go, using LibTorch.

Example applications using the onnxruntime_go library.

go binding for pytorch

golang client for the huggingface hub aiming for minimal subset of features over `huggingface-hub` python package

baize项目主要是人工智能相关，会将一些主流模型集成，并提供前端web上传图片进行验证。