awesome-machine-learning
🎰 A curated list of machine learning resources, preferably CoreML
https://github.com/onmyway133/awesome-machine-learning
Last synced: 5 days ago
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Core ML
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Models :rocket:
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Posts
- 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
- 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
- Detecting Avengers superheroes in your iOS app with IBM Watson and CoreML
- Machine Learning
- Apple Machine Learning Journal
- Core ML and Vision: Machine Learning in iOS 11 Tutorial
- iOS 11: Machine Learning for everyone
- Everything a Swift Dev Ever Wanted to Know About Machine Learning
- Bringing machine learning to your iOS apps
- Pros and cons of iOS machine learning APIs
- Core ML: Machine Learning for iOS
- Bootstrapping the Machine Learning Training Process
- 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
- Five Common Data Quality Gotchas in Machine Learning and How to Detect Them Quickly
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Building Not Hotdog with Turi Create and Core ML — in an afternoon
- 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
- Introducing Core ML
- DIY Prisma app with CoreML
- Detecting Avengers superheroes in your iOS app with IBM Watson and CoreML
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and Swift
- iOS 11: Machine Learning for everyone
- Pros and cons of iOS machine learning APIs
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Repos
- complex-gestures-demo
- Core-ML-Sample
- UnsplashExplorer-CoreML
- MNIST_DRAW
- CocoaAI
- Core-ML-Car-Recognition
- CoreML-in-ARKit
- trainer-mac - no code necessary
- GestureAI-CoreML-iOS - gesture recognition on iOS app using CoreML
- visual-recognition-coreml
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Tools
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Keras
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Machine Learning
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Convolution neural network
- CS231n Winter 2016 Lecture 7 Convolutional Neural Networks
- How Convolutional Neural Networks work
- 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
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Getting started
- 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
- 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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Posts
- A visual introduction to machine learning
- Machine Learning is Fun!
- 10 Machine Learning Terms Explained in Simple English
- Machine Learning in a Year
- Machine Learning Self-study Resources
- How to Learn Machine Learning
- Getting Started with Machine Learning
- The Non-Technical Guide to Machine Learning & Artificial Intelligence
- Machine Learning: An In-Depth Guide - Overview, Goals, Learning Types, and Algorithms
- Machine Learning for Hackers
- Building powerful image classification models using very little data
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Programming Languages
Categories
Sub Categories
Posts
154
Getting started
27
Convolution neural network
24
Models :rocket:
19
Services
14
Other ML frameworks
14
Repos
11
Tools
9
Courses
9
Metal
8
Speech Recognition
7
GamePlayKit
7
Natural Language Processing
6
Uncategorized
5
Vision
4
Google Cloud Platform for Machine Learning
3
ML Kit
3
Text Recognition
3
Others
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
12
coreml
9
swift
8
neural-network
5
ai
5
deep-neural-networks
4
ios11
3
tensorflow
3
python
3
ocr
2
macos
2
artificial-intelligence
2
metal
2
cocoa
2
vision
2
deeplearning
2
keras
2
machinelearning
2
coreml-framework
2
apple
2
model
2
ml
2
core-ml
2
caffe
2
tesseract
1
webassembly
1
caffemodel
1
awesome-list
1
numpy
1
onnx
1
pytorch
1
safetensors
1
awesome
1
tensorflow-lite
1
visualizer
1
distributed-systems
1
gbdt
1
javascript
1
prisma
1
image-processing
1
statistics
1
coreml-model
1
coreml-models
1
coremltools
1
curated-list
1
residual-networks
1
neural-networks
1
download
1