KotlinSyft

Device ML Trainer

Enables secure, on-device machine learning training and inference for Android devices using PySyft models

The official Syft worker for secure on-device machine learning

GitHub

86 stars
18 watching
27 forks
Language: Kotlin
last commit: about 5 years ago
Linked from 1 awesome list

android-librarydeep-learningfederated-learningkotlinsecuritysyft

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
sunitroy2703/tensorflow-lite-kotlin-samplesAn Android app repository showcasing various machine learning models and their implementations in Kotlin50
open-mmlab/mmengineProvides a flexible and configurable framework for training deep learning models with PyTorch.1,196
irontec/android-kotlin-samplesKotlin samples for Android development, including HTTP requests and UI components.311
trekhleb/machine-learning-experimentsAn interactive platform for exploring and comparing various machine learning algorithms and techniques using visualizations and example code.1,667
mitchtabian/open-api-android-appAn Android app with clean architecture and MVI pattern using Retrofit2, Room Persistence, and Hilt dependency injection.692
lins-lab/fedtheImproves machine learning models for personalized performance under evolving test distributions in distributed environments53
kaiwaehner/ksql-udf-deep-learning-mqtt-iotDevelops UDFs for anomaly detection in IoT sensor data using deep learning and KSQL streaming analytics.291
kotlin/kotlindlA high-level Deep Learning API for training and deploying neural networks written in Kotlin.1,484
amitshekhariitbhu/androidtensorflowmachinelearningexampleProvides an Android integration of TensorFlow for machine learning tasks1,434
lambdapioneer/argon2ktA software component providing an Android/Kotlin binding for the Argon2 password hash algorithm.81
zygmuntz/kaggle-blackboxA toolkit for building and training machine learning models using a simple, easy-to-use interface.115
unslothai/hyperlearnAn optimized machine learning framework for improved performance and reduced memory usage on various hardware configurations.1,871
dailystudio/tensorflow-lite-examples-androidRefactoring and rewriting official TensorFlow Lite examples for Android to improve quality and readability71
denissimon/distributed-model-trainingAn approach and implementation for distributed training of machine learning models on iOS devices using a central server.8
deploykf/deploykfBuilds machine learning platforms on Kubernetes by combining popular tools and services381