Need advice about which tool to choose?Ask the StackShare community!
Add tool
ScalaNLP vs TensorFlow.js: What are the differences?
What is ScalaNLP? A suite of machine learning and numerical computing libraries. ScalaNLP is a suite of machine learning and numerical computing libraries.
What is TensorFlow.js? Machine Learning in JavaScript. Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API.
ScalaNLP and TensorFlow.js can be categorized as "Machine Learning" tools.
ScalaNLP and TensorFlow.js are both open source tools. It seems that TensorFlow.js with 11.2K GitHub stars and 816 forks on GitHub has more adoption than ScalaNLP with 2.91K GitHub stars and 674 GitHub forks.
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn MorePros of ScalaNLP
Pros of TensorFlow.js
Pros of ScalaNLP
Be the first to leave a pro
Pros of TensorFlow.js
- Open Source6
- NodeJS Powered5
- Deploy python ML model directly into javascript2
- Cost - no server needed for inference1
- Privacy - no data sent to server1
- Runs Client Side on device1
- Can run TFJS on backend, frontend, react native, + IOT1
- Easy to share and use - get more eyes on your research1
Sign up to add or upvote prosMake informed product decisions
What is ScalaNLP?
ScalaNLP is a suite of machine learning and numerical computing libraries.
What is TensorFlow.js?
Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API
Need advice about which tool to choose?Ask the StackShare community!
Jobs that mention ScalaNLP and TensorFlow.js as a desired skillset
What companies use ScalaNLP?
What companies use TensorFlow.js?
What companies use ScalaNLP?
No companies found
See which teams inside your own company are using ScalaNLP or TensorFlow.js.
Sign up for StackShare EnterpriseLearn MoreSign up to get full access to all the companiesMake informed product decisions
What tools integrate with ScalaNLP?
What tools integrate with TensorFlow.js?
What tools integrate with ScalaNLP?
What tools integrate with TensorFlow.js?
What are some alternatives to ScalaNLP and TensorFlow.js?
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.