Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
Abstract: While early AutoML frameworks focused on optimizing traditional ML pipelines and their hyperparameters, a recent trend in AutoML is to focus on neural architecture search. In this paper, we ...
[2022/02/01] The initial release! We release all source code for pre-training and downstream evaluation. We release three pre-trained ResNet-50 models: 200 epochs (single-crop), 200 epochs (multi-crop ...
This repo holds the codes for NeuBridge. The time steps of SNNs are automatically calculated from activation precision, i.e., T = 2^b-1. By default, we use signed IF neuron model. Example: AlexNet(SNN ...
Abstract: I welcome you to the fourth issue of the IEEE Communications Surveys and Tutorials in 2021. This issue includes 23 papers covering different aspects of communication networks. In particular, ...