Deep Learning Containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Alternatives To Deep Learning Containers
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
D2l En21,912
7 days ago2November 13, 2022115otherPython
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Insightface19,4871105 months ago28December 17, 20221,016mitPython
State-of-the-art 2D and 3D Face Analysis Project
Ncnn19,0971a month ago26October 27, 20231,010otherC++
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Onnx16,2751484934 months ago31October 26, 2023296apache-2.0Python
Open standard for machine learning interoperability
Horovod13,95020162 months ago77June 12, 2023372otherPython
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Ivy13,904274 months ago103October 11, 20231,203otherPython
The Unified AI Framework
Dgl12,71215684 months ago449December 08, 2023470apache-2.0Python
Python package built to ease deep learning on graph, on top of existing DL frameworks.
4 months ago295Jupyter Notebook
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
2 years ago8apache-2.0Jupyter Notebook
深度学习入门教程, 优秀文章, Deep Learning Tutorial
a year ago1mitPython
Setup and customize deep learning environment in seconds.
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