dropout · GitHub Topics

#计算机科学#Build your neural network easy and fast, 莫烦Python中文教学

神经网络 Python pytorch-tutorial cnn rnn autoencoder PyTorch regression classification batch 教程 dropout dqn reinforcement-learning Generative Adversarial Network 机器学习 pytorch-tutorials

Jupyter Notebook 8.32 k

2 年前

MorvanZhou / Tensorflow-Tutorial

#计算机科学#Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Tensorflow Generative Adversarial Network rnn cnn classification regression autoencoder deep-q-network dqn 机器学习教程 dropout 神经网络

Python 4.35 k

5 年前

Pizzacus / satania.moe

Satania IS the BEST waifu, no really, she is, if you don't believe me, this website will convince you

Anime satan satania best waifu gabriel dropout please do not

HTML 614

3 年前

miguelvr / dropblock

#计算机科学#Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

机器学习机器视觉 PyTorch regularization convolutional-neural-networks pytorch-implementation dropout

Python 596

5 年前

parasdahal / deepnet

Deep learning library in plain Numpy.

cnn dropout adam-optimizer

Python 321

3 年前

JonathanRaiman / theano_lstm

#计算机科学#🔬 Nano size Theano LSTM module

机器学习 recurrent-networks theano Python lstm gru dropout automatic-differentiation 神经网络教程

Python 303

9 年前

Jackpopc / aiLearnNotes

#计算机科学#Artificial Intelligence Learning Notes.

机器视觉机器学习深度学习 Tensorflow 图像处理 reinforcement-learning lenet alexnet vgg dropout image-denoising image-segmentation image-augmentation image-enhancement cnn

Python 273

2 年前

Cohere-Labs-Community / Targeted-Dropout

#计算机科学#Complementary code for the Targeted Dropout paper

dropout 深度学习 Tensorflow

Python 255

6 年前

hwalsuklee / tensorflow-mnist-cnn

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

Tensorflow mnist-classification mnist cnn data-augmentation dropout

Python 203

7 年前

ivannz / cplxmodule

Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.

PyTorch complex-networks dropout sparsification

Python 144

3 年前

noahfl / densenet-sdr

#计算机科学#repo that holds code for improving on dropout using Stochastic Delta Rule

dropout 神经网络深度学习深度神经网络统计

Python 142

6 年前

seba-1511 / lstms.pth

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

dropout lstm PyTorch moon rnn

Python 136

4 年前

AnicetNgrt / jiro-nn

#计算机科学#A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.

adam classification dropout 机器学习 neural-networks pipelines regression Rust 数据分析 CUDA 深度学习 gpu gpu-computing opencl

Rust 131

2 年前

lonePatient / daguan_2019_rank9

datagrand 2019 information extraction competition rank9

bert ie information-extraction ner lstm crf span dropout lookahead PyTorch ngram

Python 130

5 年前

VITA-Group / Deep_GCN_Benchmarking

[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

graph-neural-networks CSS Resets dropout benchmark

Python 125

3 年前

rezakj / iCellR

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 Transcriptom...

clustering CSS Resets umap 3D dropout

R 122

1 年前