GAMF
AI summary
Deep Neural Network Fusion Library
A Python implementation of graph matching-based deep neural network fusion with applications to model ensemble and federated learning.
- stars
- 18
- forks
- 3
- watching
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Neural network library
A lightweight library for defining and training neural networks in TensorFlow.
Data Fusion Tool
This project enables federated learning across partially class-disjoint data with curated bilateral curation.
Federated Learning
This project enables personalized federated learning with inferred collaboration graphs to improve the performance of machine learning models on non-IID (non-independent and identically distributed) datasets.
Graph library
A lightweight library for working with graph neural networks in jax.
Neural networks library
An implementation of deep neural network architectures, including Transformers, in Python.
hannes-brt/hebel1.2K
Neural network library
A Python library for building and training neural networks using GPU acceleration
tensorflow/gnn1.4K
Graph Network Library
Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques.
Neural network library
A Python library for building and training neural networks.
Deep learning framework bridge
An abstraction layer between various deep learning frameworks and your program.
fxsjy/gonn361
Neural Network library
An implementation of Neural Networks in Go Language
Deep learning library
A collection of GPU-accelerated deep learning algorithms implemented in Python
Converter
Converts TensorFlow functions to equivalent JAX Python functions.
Graph neural network optimizer
A deep learning framework designed to improve the performance of Graph Neural Networks (GNNs) through distance encoding techniques.
Deep learning framework
An implementation of various deep learning architectures and algorithms
Graph neural network library
An implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries.