awesome-machine-learning
🎰 A curated list of machine learning resources, preferably CoreML
https://github.com/onmyway133/awesome-machine-learning
Last synced: 3 days ago
JSON representation
-
Core ML
-
Posts
- 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
- Building Not Hotdog with Turi Create and Core ML — in an afternoon
- 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
- 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
- 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
- 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
-
Models :rocket:
-
Repos
-
-
Machine Learning
-
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
-
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
- 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
-
Posts
- How HBO’s Silicon Valley built “Not Hotdog” with mobile TensorFlow, Keras & React Nativ
- 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
- Hello World - Machine Learning Recipes #1
- An Intuitive Explanation of Convolutional Neural Networks
- A Quick Introduction to Neural Networks
- Machine Learning Algorithm for Flappy Bird using Neural Network and Genetic Algorithm
- Understanding How Machines Learn, Through Prototyping
- 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)
- Machine Learning: An In-Depth Guide - Overview, Goals, Learning Types, and Algorithms
-
-
Uncategorized
-
Misc
-
Services
-
ML Kit
-
Vision
- Vision - performance image analysis and computer vision techniques to identify faces, detect features, and classify scenes in images and video.
- Swift World: What’s new in iOS 11 — Vision
-
Natural Language Processing
-
Metal
-
GamePlayKit
-
Text Recognition
-
Courses
-
Interview
-
Other ML frameworks
- TensorSwift
- Swift-AI
- Swift-Brain
- Bender
- AIToolbox - Means, Genetic Algorithms
- Caffe
- Torch
- Theano - dimensional arrays efficiently
-
Accelerate
- Surge - performance functions for matrix math, digital signal processing, and image manipulation.
-
Statistics
-
Speech Recognition
-
Speech Synthesizer
-
Artificial Intelligence
-
Google Cloud Platform for Machine Learning
-
Others
-
Create ML
-
-
TensorFlow
-
Posts
-
Courses
-
-
Keras
-
Turi Create
Categories
Sub Categories
Posts
122
Getting started
26
Convolution neural network
24
Models :rocket:
12
Services
8
Other ML frameworks
8
GamePlayKit
6
Uncategorized
5
Courses
4
Metal
4
Natural Language Processing
3
Speech Recognition
3
Google Cloud Platform for Machine Learning
2
Artificial Intelligence
2
Vision
2
Others
1
ML Kit
1
Create ML
1
Interview
1
Statistics
1
Accelerate
1
Speech Synthesizer
1
Repos
1
Text Recognition
1
Keywords
machine-learning
5
ios
4
swift
4
deep-learning
3
apple
2
coreml
2
neural-network
2
ios11
1
download
1
curated-list
1
coremltools
1
coreml-models
1
coreml-model
1
coreml-framework
1
core-ml
1
caffemodel
1
caffe
1
awesome-list
1
awesome
1
statistics
1
residual-networks
1
neural-networks
1
metal
1
iphone
1
deep-neural-networks
1
convolutional-neural-networks
1
swift-brain
1
ocr
1
macos
1
artificial-intelligence
1
prisma
1
image-processing
1
tensorflow-models
1
models
1
model
1
ml
1
vision
1