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10/29/2021 10:14:34 AM
The conclusion of our self-supervised learning series
4/26/2022 11:24:44 AM
In this issue: we overview Centralized vs. Decentralized Distributed Training Architectures; we explain GPipe, an Architecture for Training Large Scale Neural Networks; we explore TorchElastic, a
6/28/2022 11:14:26 AM
+ what GNNs on Dynamic Graphs; and the exploration of DeepMind's Jraph, a GNN Library for JAX.
6/21/2022 11:24:37 AM
In this issue: we explain Graph Convolutional Neural Networks; we overview the original GCN Paper; we explore PyTorch Geometric, one of the most complete GNN frameworks available today. Enjoy the
7/26/2022 11:14:27 AM
In this issue: we discuss what to test in ML models; we explain how Meta uses A/B testing to improve Facebook's newsfeed algorithm; we explore Meta's Ax, a framework for A/B testing in PyTorch.
8/25/2022 12:14:28 PM
The new model uses text-to-image and image-to-image generation to produce astonishing artistic outputs.
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