MXNet Alternatives
MXNet
MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines.
Best MXNet Alternatives for Windows
If you want similar software to MXNet, we have a list for that. Are there MXNet alternatives out there? Let's find out.
PyTorch
FreeOpen SourceMacWindowsLinuxOpen source deep learning platform that provides a seamless path from research prototyping to production deployment.
CatBoost
FreeOpen SourceMacWindowsLinuxCatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R.
mlpack
FreeOpen SourceMacWindowsLinuxWebmlpack is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of...
Features:
- Artificial intelligence
- Machine Learning
Deeplearning4j
FreeOpen SourceMacWindowsLinuxJavaEnterprise scale, open-source, distributed deep-learning library written for Java and Scala.
PyCaret
FreeOpen SourceMacWindowsLinuxPythonPyCaret is an open source low-code machine learning library in Python that aims to reduce the hypothesis to insights cycle time in a ML experiment. It enables data...
Features:
- Machine Learning
- Python
The Microsoft Cognitive Toolkit
FreeOpen SourceWindowsLinuxThe Microsoft Cognitive Toolkit - CNTK - is a unified deep-learning toolkit by Microsoft Research.
Features:
- Artificial intelligence
- Python
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