TensorSwift VS Caffe2

Compare TensorSwift vs Caffe2 and see what are their differences.

TensorSwift

A lightweight library to calculate tensors in Swift, which has similar APIs to TensorFlow's (by qoncept)

Caffe2

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TensorSwift Caffe2
- -
323 8,443
0.0% -
0.0 0.0
over 6 years ago over 5 years ago
Swift Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

TensorSwift

Posts with mentions or reviews of TensorSwift. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning TensorSwift yet.
Tracking mentions began in Dec 2020.

Caffe2

Posts with mentions or reviews of Caffe2. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Caffe2 yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing TensorSwift and Caffe2 you can also consider the following projects:

Tensorflow-iOS

Caffe - Caffe: a fast open framework for deep learning.

CoreML-Models - Largest list of models for Core ML (for iOS 11+)

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

CoreML-samples - Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

SwiftCoreMLTools - A Swift library for creating and exporting CoreML Models in Swift

Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

Swift-Brain - Artificial intelligence/machine learning data structures and Swift algorithms for future iOS development. bayes theorem, neural networks, and more AI.

Porcupine   - On-device wake word detection powered by deep learning

DL4S - Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux