Search Results for author:
Found 4 papers, 2 papers with code
TF-GNN: Graph Neural Networks in TensorFlow
TensorFlow-GNN (TF-GNN) is a scalable library for Graph Neural Networks in TensorFlow.
IndyLSTMs: Independently Recurrent LSTMs
The number of parameters per IndyLSTM layer, and thus the number of FLOPS per evaluation, is linear in the number of nodes in the layer, as opposed to quadratic for regular LSTM layers, resulting in potentially both smaller and faster models.
Fast Multi-language LSTM-based Online Handwriting Recognition
We describe an online handwriting system that is able to support 102 languages using a deep neural network architecture.
QuickSched: Task-based parallelism with dependencies and conflicts
This paper describes QuickSched, a compact and efficient Open-Source C-language library for task-based shared-memory parallel programming.
Distributed, Parallel, and Cluster Computing
