Download
Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable.
Features
- Design notes providing useful insights that can re-used by other DL projects
- Flexible configuration for arbitrary computation graph
- Mix and match imperative and symbolic programming to maximize flexibility and efficiency
- Lightweight, memory efficient and portable to smart devices
- Scales up to multi GPUs and distributed setting with auto parallelism
- Support for Python, Scala, C++, Java, Clojure, R, Go, Javascript, Perl, Matlab, and Julia
- Cloud-friendly and directly compatible with AWS S3, AWS Deep Learning AMI, AWS SageMaker, HDFS, and Azure
Project Samples
License
Apache License V2.0Other Useful Business Software
Cut Cloud Costs with Google Compute Engine
Save on compute costs with Compute Engine. Reduce your batch jobs and workload bill 60-91% with Spot VMs. Compute Engine's committed use offers customers up to 70% savings through sustained use discounts. Plus, you get one free e2-micro VM monthly and $300 credit to start.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Apache MXNet (incubating)!
