- On-Device Machine Learning In Android: Frameworks and Ecosystem
- Using C/C++ in Android: A Comprehensive Guide For Beginners
- Chaquopy: Using Python In Android Apps
- Deploying Scikit-Learn Models In Android Apps With ONNX ( GitHub )
- Deploying TF models on Heroku for Android ( GitHub )
- Realtime Depth Estimation In Android ( GitHub )
- MLKit Selfie Segmentation in Android ( GitHub )
- Age + Gender Estimation in Android with TensorFlow ( GitHub )
- Using FaceNet For On-Device Face Recognition With Android ( GitHub )
- Text2Summary Android ( GitHub )
- Q-Learning With The Frozen Lake Environment In Android ( GitHub )
- Hyperparameter Optimization With Genetic Algorithms in Kotlin ( GitHub )
- Exploring Random Forests In Light Of Kotlin ( GitHub )
- Coding Feed-Forward Neural Networks in Kotlin (or Android) ( GitHub )
- Gaussian Naive Bayes ( for Iris Classification ) in Android ( GitHub )
- How I made Skinly for Melanoma Detection in Android ( GitHub )
- Designing Decision Trees From Scratch on Android ( GitHub )
- Text Classification in Android with TensorFlow ( GitHub )
- Sarcasm Detection using Word Embeddings in Android ( GitHub )
- Hands-on With Multiple Linear Regression on Android
- Bayes Text Classification in Kotlin for Android without TensorFlow
- Introducing TensorFlow Lite Android Support Library
Created
February 8, 2024 04:10
-
-
Save bhardwajAbhi/09b42b5d08fd6a329d0665fb59dafe65 to your computer and use it in GitHub Desktop.
On-Device Machine Learning In Android: Frameworks and Ecosystem
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment