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: over 3 years ago
Linked from 1 awesome list

android-librarydeep-learningfederated-learningkotlinsecuritysyft

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
sunitroy2703/tensorflow-lite-kotlin-samples An Android app repository showcasing various machine learning models and their implementations in Kotlin 49
open-mmlab/mmengine Provides a flexible and configurable framework for training deep learning models with PyTorch. 1,179
irontec/android-kotlin-samples Kotlin samples for Android development, including HTTP requests and UI components. 311
trekhleb/machine-learning-experiments An interactive platform for exploring and comparing various machine learning algorithms and techniques using visualizations and example code. 1,654
mitchtabian/open-api-android-app An Android app with clean architecture and MVI pattern using Retrofit2, Room Persistence, and Hilt dependency injection. 692
lins-lab/fedthe Improves machine learning models for personalized performance under evolving test distributions in distributed environments 53
kaiwaehner/ksql-udf-deep-learning-mqtt-iot Develops UDFs for anomaly detection in IoT sensor data using deep learning and KSQL streaming analytics. 289
kotlin/kotlindl A high-level Deep Learning API for training and deploying neural networks written in Kotlin. 1,474
amitshekhariitbhu/androidtensorflowmachinelearningexample Provides an Android integration of TensorFlow for machine learning tasks 1,436
lambdapioneer/argon2kt A software component providing an Android/Kotlin binding for the Argon2 password hash algorithm. 79
zygmuntz/kaggle-blackbox A toolkit for building and training machine learning models using a simple, easy-to-use interface. 115
unslothai/hyperlearn An optimized machine learning framework using PyTorch that improves performance and efficiency on various hardware configurations 1,842
dailystudio/tensorflow-lite-examples-android Refactoring and rewriting official TensorFlow Lite examples for Android to improve quality and readability 69
denissimon/distributed-model-training An approach and implementation for distributed training of machine learning models on iOS devices using a central server. 8
deploykf/deploykf Builds machine learning platforms on Kubernetes by combining popular tools and services 376