For distributed machine learning
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Official repository of the "Fine-grained Key-Value Memory Enhanced Predictor for Video Representa...
GLM (General Language Model)
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Platform for designing and evaluating Graph Neural Networks (GNN)
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray
Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning meth...
Code for Online Graph Dictionary Learning
FedNAS: Federated Deep Learning via Neural Architecture Search
StellarGraph - Machine Learning on Graphs
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
Federated posterior averaging implemented in JAX
🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.