MXNet

Features Rating Results
Generic Features Rating Results
Installability
0
No votes yet
Usability
0
No votes yet
Robustness
0
No votes yet
Security
0
No votes yet
Scalability
0
No votes yet
Overall Quality
0
No votes yet
Specific Features Rating Results
Data Mining
0
No votes yet
Data Quality
0
No votes yet
Data Sources
0
No votes yet
Description: 

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, and more

MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix the flavours of symbolic programming and imperative programming together to maximize the efficiency and your productivity. In its core, a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer is build on top, which makes symbolic execution fast and memory efficient. The library is portable and lightweight, and is ready scales to multiple GPUs, and multiple machines.