microsoft / pai
Resource scheduling and cluster management for AI
☆2,646Updated 7 months ago
Alternatives and similar repositories for pai:
Users that are interested in pai are comparing it to the libraries listed below
- A high performance and generic framework for distributed DNN training☆3,655Updated last year
- An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.☆2,794Updated last year
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,337Updated last month
- MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Co…☆5,809Updated 7 months ago
- An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model c…☆14,098Updated 6 months ago
- A Flexible and Powerful Parameter Server for large-scale machine learning☆6,750Updated last year
- A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep lear…☆5,244Updated this week
- A benchmark framework for Tensorflow☆1,148Updated last year
- Automated Machine Learning on Kubernetes☆1,531Updated this week
- Kubernetes-native Deep Learning Framework☆733Updated 11 months ago
- Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.☆2,708Updated last year
- Machine Learning Model Deployment Made Simple☆720Updated 6 years ago
- Machine Learning Toolkit for Kubernetes☆14,544Updated last month
- a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.☆1,503Updated last year
- Open Source ML Model Versioning, Metadata, and Experiment Management☆1,710Updated 5 months ago
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆11,930Updated last month
- Distributed ML Training and Fine-Tuning on Kubernetes☆1,654Updated last week
- MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.☆4,373Updated 5 months ago
- AutoML library for deep learning☆9,178Updated last month
- MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle☆3,591Updated this week
- Fast and flexible AutoML with learning guarantees.☆3,467Updated last year
- It is open source ebook about TensorFlow kernel and implementation mechanism.☆2,893Updated last year
- A CLI for Kubeflow.☆745Updated this week
- An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models☆4,430Updated this week
- Open-source implementation of Google Vizier for hyper parameters tuning☆1,552Updated 5 years ago
- oneAPI Deep Neural Network Library (oneDNN)☆3,677Updated this week
- TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows…☆2,249Updated last year
- A flexible, high-performance serving system for machine learning models☆6,212Updated 2 weeks ago
- Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators☆1,533Updated 5 years ago
- Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distille…☆4,364Updated last year