An open-source framework for machine learning and other computations on decentralized data.
APACHE-2.0 License
PyTorch extensions for high performance and large scale training.
An Open Source Machine Learning Framework for Everyone
For distributed machine learning
High-performance TensorFlow library for quantitative finance.
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
Simple and ready-to-use tutorials for TensorFlow
Flower: A Friendly Federated Learning Framework
Simple and comprehensive tutorials in TensorFlow
Federated posterior averaging implemented in JAX
🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.
Organized & Useful Resources about Deep Learning with TensorFlow
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, ...
Instantly improve your training performance of TensorFlow models with just 2 lines of code!
A library for transfer learning by reusing parts of TensorFlow models.