CoreML-samples VS Caffe2

Compare CoreML-samples vs Caffe2 and see what are their differences.

CoreML-samples

Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools. (by ytakzk)
Machine Learning
Source Code
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Caffe2

By facebookarchive
Machine Learning

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CoreML-samples Caffe2
- -
41 8,443
- -
0.0 0.0
over 6 years ago over 5 years ago
Jupyter Notebook 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.

CoreML-samples

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

We haven't tracked posts mentioning CoreML-samples 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 CoreML-samples and Caffe2 you can also consider the following projects:

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

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

Tensorflow-iOS

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

Awesome-Mobile-Machine-Learning - A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.

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

Bender - Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

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

Swift-AI - The Swift machine learning library.

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

TensorSwift - A lightweight library to calculate tensors in Swift, which has similar APIs to TensorFlow's

CoreML-samples vs CoreML-Models Caffe2 vs Caffe CoreML-samples vs Tensorflow-iOS Caffe2 vs mxnet CoreML-samples vs Awesome-Mobile-Machine-Learning Caffe2 vs Pytorch CoreML-samples vs Bender Caffe2 vs Serpent.AI CoreML-samples vs Swift-AI Caffe2 vs Porcupine   CoreML-samples vs TensorSwift Caffe2 vs CoreML-Models