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dropout
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Build your neural network easy and fast, 莫烦Python中文教学
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
🔬 Nano size Theano LSTM module
Artificial Intelligence Learning Notes.
Complementary code for the Targeted Dropout paper
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.
[TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq and Spatial Transcriptomics (ST)).
My workshop on machine learning using python language to implement different algorithms
PyTorch Implementations of Dropout Variants
Implementation of DropBlock in Pytorch