Awesome-Mobile-Machine-Learning VS CoreML-samples

Compare Awesome-Mobile-Machine-Learning vs CoreML-samples and see what are their differences.

Awesome-Mobile-Machine-Learning

A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices. (by fritzlabs)
Machine Learning ios-development android-development edge-computing Tutorials technical-guides

DISCONTINUED

Suggest alternative
Edit details

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
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
Awesome-Mobile-Machine-Learning CoreML-samples
1 -
1,231 41
- -
4.2 0.0
almost 3 years ago almost 7 years ago
Jupyter Notebook
MIT License 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.

Awesome-Mobile-Machine-Learning

Posts with mentions or reviews of Awesome-Mobile-Machine-Learning. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing Awesome-Mobile-Machine-Learning and CoreML-samples you can also consider the following projects:

Swift-AI - The Swift machine learning library.

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

Tensorflow-iOS

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

Caffe2

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

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

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

Awesome-Mobile-Machine-Learning vs Swift-AI CoreML-samples vs CoreML-Models Awesome-Mobile-Machine-Learning vs CoreML-Models CoreML-samples vs Tensorflow-iOS Awesome-Mobile-Machine-Learning vs SwiftCoreMLTools CoreML-samples vs Caffe2 Awesome-Mobile-Machine-Learning vs Caffe2 CoreML-samples vs Bender Awesome-Mobile-Machine-Learning vs Bender CoreML-samples vs Swift-AI Awesome-Mobile-Machine-Learning vs DL4S CoreML-samples vs TensorSwift