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MorvanZhou / PyTorch-Tutorial

Build your neural network easy and fast, Mo Fan PythonZhong Wen Jiao Xue

python machine-learning tutorial reinforcement-learning neural-network regression cnn pytorch batch dropout generative-adversarial-network gan batch-normalization dqn classification rnn autoencoder pytorch-tutorial pytorch-tutorials

Updated Mar 23, 2023
Jupyter Notebook

MorvanZhou / Tensorflow-Tutorial

Tensorflow tutorial from basic to hard, Mo Fan Python Zhong Wen AIJiao Xue

machine-learning tutorial neural-network tensorflow regression cnn dropout generative-adversarial-network gan dqn classification rnn autoencoder tensorflow-tutorials deep-q-network

Updated Oct 31, 2020
Python

Pizzacus / satania.moe

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

anime best dropout do waifu satan gabriel not please thx satania bulli her

Updated Oct 9, 2022
HTML

miguelvr / dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

machine-learning computer-vision pytorch dropout regularization convolutional-neural-networks pytorch-implementation dropblock

Updated Jul 29, 2020
Python

parasdahal / deepnet

Deep learning library in plain Numpy.

cnn dropout batch-normalization adagrad adam-optimizer nesterov-accelerated-sgd

Updated Jun 21, 2022
Python

JonathanRaiman / theano_lstm

Nano size Theano LSTM module

python machine-learning tutorial theano neural-network automatic-differentiation recurrent-networks lstm gru adadelta dropout

Updated Nov 16, 2016
Python

Jackpopc / aiLearnNotes

Artificial Intelligence Learning Notes.

machine-learning reinforcement-learning computer-vision deep-learning tensorflow image-processing cnn dropout vgg lenet alexnet harris sift image-segmentation image-augmentation hog image-denoising dpm image-enhancement activation-function

Updated Mar 25, 2023
Python

Cohere-Labs-Community / Targeted-Dropout

Complementary code for the Targeted Dropout paper

deep-learning tensorflow dropout targeted-dropout

Updated Sep 26, 2019
Python

hwalsuklee / tensorflow-mnist-cnn

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

tensorflow cnn dropout mnist batch-normalization mnist-classification data-augmentation ensemble-prediction

Updated Jul 26, 2018
Python

ivannz / cplxmodule

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

pytorch dropout complex-networks variational-bayes sparsification

Updated Jun 14, 2022
Python

noahfl / densenet-sdr

repo that holds code for improving on dropout using Stochastic Delta Rule

statistics deep-neural-networks deep-learning neural-network dropout

Updated Feb 10, 2019
Python

seba-1511 / lstms.pth

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

pytorch lstm dropout moon rnn gal

Updated May 7, 2021
Python

AnicetNgrt / jiro-nn

A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.

rust machine-learning deep-learning gpu opencl cuda nn ml pipelines regression dropout sgd neural-networks classification data-analysis gpu-computing adam nalgebra

Updated Oct 3, 2023
Rust

lonePatient / daguan_2019_rank9

datagrand 2019 information extraction competition rank9

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

Updated Dec 29, 2019
Python

rezakj / iCellR

iCellR is an interactive R package designed to facilitate the analysis and visualization of high-throughput single-cell sequencing data. It supports a variety of single-cell technologies, including scRNA-seq, scVDJ-seq, scATAC-seq, CITE-Seq, and Spatial Transcriptomics (ST).

clustering dropout batch-normalization imputation scrna-seq diffusion-maps clustering-algorithm 3d umap normalization 10xgenomics cell-type-classification intractive-graph cite-seq singel-cell-sequencing pseudotime scvdj-seq icellr

Updated Nov 10, 2025
R

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

benchmark dropout normalization skip-connections graph-neural-networks training-tricks deep-graph-library deep-graph-networks ogb

Updated Dec 29, 2021
Python

snrazavi / Machine-Learning-in-Python-Workshop

My workshop on machine learning using python language to implement different algorithms

python machine-learning workshop deep-learning numpy scikit-learn keras dropout batch-normalization neural-networks matplotlib convolutional-neural-networks gradient-descent backpropagation optimization-algorithms softmax machine-learning-workshop linear-classification

Updated Jan 24, 2020
Jupyter Notebook

anassinator / bnn

Bayesian Neural Network in PyTorch

neural-network pytorch artificial-intelligence dropout bayesian-inference bayesian-neural-networks bnn concrete-dropout

Updated May 3, 2024
Python

j-min / Dropouts

PyTorch Implementations of Dropout Variants

pytorch dropout variational-inference bayesian-neural-networks local-reparametrization-trick gaussian-dropout variational-dropout

Updated Jan 7, 2018
Jupyter Notebook

Randl / DropBlock-pytorch

Implementation of DropBlock in Pytorch

pytorch dropout pytorch-implementation dropblock

Updated Nov 4, 2018
Python

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