This repository hosts the code for experiments in the paper, GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training.
Scripts for experiments on CIFAR-10 is currently available. Please refer to launch/run_gradinit_densenet.sh for DenseNet-100, launch/run_gradinit_wrn.sh for WRN-28-10, and launch/run_gradinit.sh for other networks shown in the paper. We will release the code for ImageNet and IWSLT experiments soon.
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Yoga Asana Classifier Description Hi welcome to my new deep learning project "Yo
The accompanying codes reproduce all figures and statistics presented in "Controlling for multiple covariates" by Mark Tygert. This repository also pr
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A deep learning library for spiking neural networks. Norse aims to exploit the advantages of bio-inspired neural components, which are sparse and even
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TinyML Cookbook This is the code repository for TinyML Cookbook, published by Packt. Author: Gian Marco Iodice Publisher: Packt About the book This bo
This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data.
elemenpy Hello! elements.py is a small Python periodic table module that is used for calling certain information about an element. Installation Instal
Computer vision has opened up a lot of opportunities to explore into AI domain that were earlier highly limited. Here is an application of haarcascade classifier and OpenCV to develop a social distan
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