Topic: dropout Goto Github
Some thing interesting about dropout
Some thing interesting about dropout
dropout,Google Street View House Number(SVHN) Dataset, and classifying them through CNN
User: aditya9211
Home Page: http://ufldl.stanford.edu/housenumbers/
dropout,Building a HTTP-accessed convolutional neural network model using TensorFlow NN (tf.nn), CIFAR10 dataset, Python and Flask.
User: ahmedfgad
Home Page: https://www.linkedin.com/in/ahmedfgad
dropout,Hand Gesture Recognition using CNNs and Perceptrons in realtime (OpenCV)
User: anantsinghcross
dropout,Bayesian Neural Network in PyTorch
User: anassinator
dropout,A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.
User: anicetngrt
Home Page: https://linktr.ee/jironn
dropout,TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)
User: cjratcliff
dropout,DropClass and DropAdapt - repository for the paper accepted to Speaker Odyssey 2020
User: cvqluu
dropout,DropBlock implemented in Keras
User: cyberzhg
Home Page: https://pypi.org/project/keras-drop-block/
dropout,Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
User: da-molchanov
dropout, Visual Explanation using Uncertainty based Class Activation Maps
Organization: delta-lab-iitk
dropout,The tools and syntax you need to code neural networks from day one.
User: emilwallner
dropout,Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Bayesian-Active-Learning/))
User: fahadm
dropout,Complementary code for the Targeted Dropout paper
Organization: for-ai
dropout,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
User: georgezoto
Home Page: http://bit.ly/deep-learning-tf
dropout,Implementation of key concepts of neuralnetwork via numpy
User: hwalsuklee
dropout,MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
User: hwalsuklee
dropout,Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
User: ivannz
dropout,PyTorch Implementations of Dropout Variants
User: j-min
dropout,Artificial Intelligence Learning Notes.
User: jackpopc
Home Page: https://github.com/Jackpopc/aiLearnNotes
dropout,:microscope: Nano size Theano LSTM module
User: jonathanraiman
dropout,Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
User: kefirski
dropout,An implementation of drophead regularization for pytorch transformers
User: kirill-kravtsov
dropout,Imputation method for scRNA-seq based on low-rank approximation
Organization: klugerlab
dropout,datagrand 2019 information extraction competition rank9
User: lonepatient
dropout,Deep learning using CNN in tensorflow on Kaggle image dataset containing 87,900 different healthy and unhealthy crop leaves spanning 38 unique classes.
User: mayur7garg
dropout,Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
User: miguelvr
dropout,Win probability predictions for League of Legends matches using neural networks
User: minihat
Home Page: https://minihat.github.io/LoL-Match-Prediction/
dropout,Build your neural network easy and fast, 莫烦Python中文教学
User: morvanzhou
Home Page: https://mofanpy.com/tutorials/machine-learning/torch/
dropout,Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
User: morvanzhou
Home Page: https://mofanpy.com/tutorials/machine-learning/tensorflow/
dropout,A tool for downloading dropout.tv episodes
User: mosswg
dropout,Applying Deep Machine Learning for psycho-demographic profiling of Internet users using O.C.E.A.N. model of personality.
Organization: newground-llc
dropout,repo that holds code for improving on dropout using Stochastic Delta Rule
User: noahfl
dropout,Educational deep learning library in plain Numpy.
User: parasdahal
Home Page: https://deepnotes.io/implementing-cnn
dropout,Code for the paper "Curriculum Dropout", ICCV 2017
User: pmorerio
dropout,A Library for Denoising Single-Cell Data with Random Matrix Theory
Organization: rabadanlab
dropout,Implementation of DropBlock in Pytorch
User: randl
dropout,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)).
User: rezakj
dropout,This Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ReduceLearning rate on plateau, Early stoppig rounds, and Transposd Convolutional Neural Networks.
User: sharmaroshan
dropout,My workshop on machine learning using python language to implement different algorithms
User: snrazavi
Home Page: http://www.snrazavi.ir/ml-with-python
dropout,My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
User: srinadhu
dropout,Short description for quick search
User: ssq
dropout,A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
User: sungyubkim
dropout,A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.
User: tayebiarasteh
dropout,AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.
User: thtrieu
dropout,[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
Organization: vita-group
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
Organization: vita-group
dropout,Dropout as Regularization and Bayesian Approximation
User: xuwd11
Home Page: https://xuwd11.github.io/Dropout_Tutorial_in_PyTorch/
dropout,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
User: zmyzheng
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