NeuralPy is a Keras like, machine learning library that works on top of PyTorch written purely in Python. It is simple, easy to use library, cross-compatible with PyTorch models, suitable for all kinds of machine learning experiments, learning, research, etc.
PyTorch in NeuralPy
PyTorch is an open-source machine learning framework that accelerates the path from research prototyping to production deployment developed by Facebook runs on both CPU and GPU.
Following are some highlights of PyTorch:
NeuralPy is a high-level library that works on top of PyTorch. It provides easy to use, powerful and interactive APIs that can be used to build state-of-the-art models. As it works on top of PyTorch, NerualPy supports both CPU and GPU and can perform numerical operations very efficiently.
Here are some highlights of NeuralPy:
Provides an easy interface that is suitable for fast prototyping, learning, and research
Works on top of PyTorch
Can run on both CPU and GPU
Cross-Compatible with PyTorch models