What is ScalaNLP?
ScalaNLP is a suite of machine learning and numerical computing libraries.
ScalaNLP is a tool in the Machine Learning Tools category of a tech stack.
ScalaNLP is an open source tool with 3.4K GitHub stars and 694 GitHub forks. Here’s a link to ScalaNLP's open source repository on GitHub
Who uses ScalaNLP?
ScalaNLP Integrations
ScalaNLP's Features
- ScalaNLP is the umbrella project for several libraries:
- Breeze is a set of libraries for machine learning and numerical computing
- Epic is a high-performance statistical parser and structured prediction library
ScalaNLP Alternatives & Comparisons
What are some alternatives to ScalaNLP?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
CUDA
A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
