dropout

There are 245 repositories under dropout topic.

  • MorvanZhou/PyTorch-Tutorial

    Build your neural network easy and fast, 莫烦Python中文教学

    Language:Jupyter Notebook8.3k214713.1k

  • MorvanZhou/Tensorflow-Tutorial

    Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

    Language:Python4.3k259231.9k

  • Pizzacus/satania.moe

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

    Language:HTML615151457

  • miguelvr/dropblock

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

    Language:Python59493495

  • parasdahal/deepnet

    Deep learning library in plain Numpy.

    Language:Python32117984

  • JonathanRaiman/theano_lstm

    :microscope: Nano size Theano LSTM module

    Language:Python3033517112

  • Jackpopc/aiLearnNotes

    Artificial Intelligence Learning Notes.

    Language:Python2738160

  • for-ai/Targeted-Dropout

    Complementary code for the Targeted Dropout paper

    Language:Python25551346

  • hwalsuklee/tensorflow-mnist-cnn

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

    Language:Python2007896

  • noahfl/densenet-sdr

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

    Language:Python14231815

  • ivannz/cplxmodule

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

    Language:Python140101928

  • seba-1511/lstms.pth

    PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

    Language:Python1369324

  • lonePatient/daguan_2019_rank9

    datagrand 2019 information extraction competition rank9

    Language:Python1303743
  • jiro-nn

    AnicetNgrt/jiro-nn

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

    Language:Rust129213

  • 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

    Language:Python1263321

  • 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 Transcriptomics (ST)).

    Language:R122123619

  • snrazavi/Machine-Learning-in-Python-Workshop

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

    Language:Jupyter Notebook11915063

  • j-min/Dropouts

    PyTorch Implementations of Dropout Variants

    Language:Jupyter Notebook871418

  • anassinator/bnn

    Bayesian Neural Network in PyTorch

    Language:Python843126

  • Randl/DropBlock-pytorch

    Implementation of DropBlock in Pytorch

    Language:Python814218

  • thtrieu/essence

    AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.

    Language:Python777018

  • KlugerLab/ALRA

    Imputation method for scRNA-seq based on low-rank approximation

    Language:R7462719

  • georgezoto/TensorFlow-in-Practice

    TensorFlow in Practice Specialization. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time Series Forecasting 😀 All while having fun learning and participating in our Deep Learning Trivia games 🎉 http://bit.ly/deep-learning-tf

    Language:Jupyter Notebook676029

  • aditya9211/SVHN-CNN

    Google Street View House Number(SVHN) Dataset, and classifying them through CNN

    Language:Jupyter Notebook645133

  • emilwallner/Deep-Learning-101

    The tools and syntax you need to code neural networks from day one.

    Language:Jupyter Notebook604015

  • ahmedfgad/CIFAR10CNNFlask

    Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.

    Language:Python596135

  • xuwd11/Dropout_Tutorial_in_PyTorch

    Dropout as Regularization and Bayesian Approximation

    Language:Jupyter Notebook571031

  • sungyubkim/MCDO

    A pytorch implementation of MCDO(Monte-Carlo Dropout methods)

    Language:Jupyter Notebook56018

  • kefirski/variational_dropout

    Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch

    Language:Python49104

  • hwalsuklee/numpy-neuralnet-exercise

    Implementation of key concepts of neuralnetwork via numpy

    Language:Python484013

  • VITA-Group/Random-MoE-as-Dropout

    [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal, Shiwei Liu, Zhangyang Wang

    Language:Python48242

  • minihat/LoL-Match-Prediction

    Win probability predictions for League of Legends matches using neural networks

    Language:Python47733

  • mosswg/dropout-dl

    A tool for downloading dropout.tv episodes

    Language:C++413237

  • srinadhu/CS231n

    My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

    Language:Jupyter Notebook410223

  • da-molchanov/variance-networks

    Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019

    Language:Python39212

  • zmyzheng/Neural-Networks-and-Deep-Learning

    Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai

    Language:Jupyter Notebook392113