awesome-machine-learning
🎰 A curated list of machine learning resources, preferably CoreML
https://github.com/onmyway133/awesome-machine-learning
Last synced: 2 days ago
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Core ML
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Posts
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- How to train your own model for CoreML
- DIY Prisma app with CoreML
- Detecting Pneumonia in an iOS App with Create ML
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- Building Not Hotdog with Turi Create and Core ML — in an afternoon
- DIY Prisma app with CoreML
- Introducing Core ML
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- Swift Tutorial: Native Machine Learning and Machine Vision in iOS 11
- How to train your own model for CoreML
- Smart Gesture Recognition in iOS 11 with Core ML and TensorFlow
- DIY Prisma app with CoreML
- Detecting Avengers superheroes in your iOS app with IBM Watson and CoreML
- iOS 11: Machine Learning for everyone
- Pros and cons of iOS machine learning APIs
- Detecting Pneumonia in an iOS App with Create ML
- How to fine-tune ResNet in Keras and use it in an iOS App via Core ML
- DIY Prisma app with CoreML
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- DIY Prisma app with CoreML
- DIY Prisma app with CoreML
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- DIY Prisma app with CoreML
- DIY Prisma app with CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- Detecting Avengers superheroes in your iOS app with IBM Watson and CoreML
- iOS 11: Machine Learning for everyone
- Pros and cons of iOS machine learning APIs
- Using scikit-learn and CoreML to Create a Music Recommendation Engine
- Building Not Hotdog with Turi Create and Core ML — in an afternoon
- Leveraging Machine Learning in iOS For Improved Accessibility
- IBM Watson Services for Core ML Tutorial
- Beginning Machine Learning with Keras & Core ML
- Detecting Whisky brands with Core ML and IBM Watson services
- Machine Learning
- Apple Machine Learning Journal
- Core ML and Vision: Machine Learning in iOS 11 Tutorial
- Everything a Swift Dev Ever Wanted to Know About Machine Learning
- Bringing machine learning to your iOS apps
- Core ML: Machine Learning for iOS
- Bootstrapping the Machine Learning Training Process
- How to fine-tune ResNet in Keras and use it in an iOS App via Core ML
- Five Common Data Quality Gotchas in Machine Learning and How to Detect Them Quickly
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Models :rocket:
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Tools
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Repos
- Core-ML-Sample
- CoreML-in-ARKit
- trainer-mac - no code necessary
- GestureAI-CoreML-iOS - gesture recognition on iOS app using CoreML
- visual-recognition-coreml
- complex-gestures-demo
- UnsplashExplorer-CoreML
- MNIST_DRAW
- CocoaAI
- Core-ML-Car-Recognition
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Machine Learning
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Getting started
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- This is why anyone can learn Machine Learning
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- A Thank You note to Towards Data Science
- This is why anyone can learn Machine Learning
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Convolution neural network
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- How to build your own Neural Network from scratch in Python
- CS231n Winter 2016 Lecture 7 Convolutional Neural Networks
- How Convolutional Neural Networks work
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Posts
- 10 Machine Learning Terms Explained in Simple English
- Machine Learning for Hackers
- Machine Learning for Developers For absolute beginners and fifth graders
- dive-into-machine-learning - learn
- LearningMachineLearning
- EmojiIntelligence
- Machine Learning is Fun!
- How HBO’s Silicon Valley built “Not Hotdog” with mobile TensorFlow, Keras & React Nativ
- 10 Machine Learning Terms Explained in Simple English
- Getting Started with Machine Learning
- Machine Learning: An In-Depth Guide - Overview, Goals, Learning Types, and Algorithms
- Machine Learning for Hackers
- Machine Learning Algorithm for Flappy Bird using Neural Network and Genetic Algorithm
- Training on the device
- Machine Learning for iOS
- The “hello world” of neural networks
- Convolutional Neural Networks in iOS 10 and macOS
- Machine Learning: End-to-end Classification
- Machine Learning Zero to Hero (Google I/O'19)
- Getting Started with Machine Learning
- Machine Learning for Hackers
- Machine Learning Algorithm for Flappy Bird using Neural Network and Genetic Algorithm
- Training on the device
- Machine Learning for iOS
- The “hello world” of neural networks
- Convolutional Neural Networks in iOS 10 and macOS
- Machine Learning: End-to-end Classification
- Machine Learning Zero to Hero (Google I/O'19)
- A visual introduction to machine learning
- Machine Learning in a Year
- Machine Learning Self-study Resources
- How to Learn Machine Learning
- The Non-Technical Guide to Machine Learning & Artificial Intelligence
- Machine Learning: An In-Depth Guide - Overview, Goals, Learning Types, and Algorithms
- Building powerful image classification models using very little data
- Hello World - Machine Learning Recipes #1
- An Intuitive Explanation of Convolutional Neural Networks
- A Quick Introduction to Neural Networks
- Understanding How Machines Learn, Through Prototyping
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TensorFlow
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Repos
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Courses
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Posts
- Swift for TensorFlow
- Get started with TensorFlow high-level APIs (Google I/O '18)
- Getting started with TensorFlow on iOS
- Get started with TensorFlow high-level APIs (Google I/O '18)
- Getting started with TensorFlow on iOS
- Use TensorFlow and BNNS to Add Machine Learning to your Mac or iOS App
- Open Source TensorFlow Models (Google I/O '17)
- Introducing TensorFlow.js: Machine Learning in Javascript
- TensorFlow for JavaScript (Google I/O '18)
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Misc
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Blogs
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Vision
- Blog-Getting-Started-with-Vision
- Swift World: What’s new in iOS 11 — Vision
- Swift World: What’s new in iOS 11 — Vision
- Vision - performance image analysis and computer vision techniques to identify faces, detect features, and classify scenes in images and video.
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Natural Language Processing
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Metal
- Forge
- Metal
- MPSCNNHelloWorld: Simple Digit Detection Convolution Neural Networks (CNN)
- MetalImageRecognition: Performing Image Recognition
- Apple’s deep learning frameworks: BNNS vs. Metal CNN
- MPSCNNHelloWorld: Simple Digit Detection Convolution Neural Networks (CNN)
- MetalImageRecognition: Performing Image Recognition
- Apple’s deep learning frameworks: BNNS vs. Metal CNN
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Other ML frameworks
- brain
- incubator-predictionio
- CNTK - learning toolkit
- BrainCore
- TensorSwift
- TensorFlow - source software library for Machine Intelligence
- Swift-AI
- Swift-Brain
- Bender
- AIToolbox - Means, Genetic Algorithms
- Caffe
- Torch
- Theano - dimensional arrays efficiently
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Accelerate
- Accelerate-in-Swift
- Surge - performance functions for matrix math, digital signal processing, and image manipulation.
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Text Recognition
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Speech Recognition
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Services
- api.ai - unique, natural language interactions for bots, applications, services, and devices.
- openml
- Watson
- Comparing Machine Learning (ML) Services from Various Cloud ML Service Providers
- Watson
- Watson
- Watson
- Watson
- Amazon Machine Learning
- clarifai
- Comparing Machine Learning (ML) Services from Various Cloud ML Service Providers
- wit.ai
- Lobe
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Artificial Intelligence
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Google Cloud Platform for Machine Learning
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ML Kit
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GamePlayKit
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Courses
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Interview
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Speech Synthesizer
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Create ML
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Statistics
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Others
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Uncategorized
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Keras
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Turi Create
Programming Languages
Categories
Sub Categories
Posts
154
Getting started
28
Convolution neural network
25
Models :rocket:
19
Services
13
Other ML frameworks
13
Repos
11
Tools
8
Metal
8
Courses
8
GamePlayKit
7
Speech Recognition
6
Natural Language Processing
6
Uncategorized
5
Vision
4
Google Cloud Platform for Machine Learning
3
Text Recognition
3
Others
2
ML Kit
2
Artificial Intelligence
2
Accelerate
2
Speech Synthesizer
2
Create ML
1
Blogs
1
Interview
1
Statistics
1
Keywords
machine-learning
15
deep-learning
12
ios
11
coreml
8
swift
7
neural-network
5
ai
5
deep-neural-networks
4
ios11
3
tensorflow
3
python
3
model
2
cocoa
2
vision
2
metal
2
artificial-intelligence
2
ocr
2
ml
2
deeplearning
2
keras
2
coreml-framework
2
core-ml
2
machinelearning
2
caffe
2
apple
2
webassembly
1
tesseract
1
javascript
1
prisma
1
numpy
1
image-processing
1
statistics
1
onnx
1
macos
1
residual-networks
1
neural-networks
1
iphone
1
convolutional-neural-networks
1
swift-brain
1
tensorflow-models
1
models
1
download
1
curated-list
1
coremltools
1
coreml-models
1
coreml-model
1
caffemodel
1
awesome-list
1
augmented-reality
1
imagenet
1