Projects in Awesome Lists tagged with dropout

https://github.com/morvanzhou/pytorch-tutorial

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

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

Last synced: 14 May 2025

https://github.com/MorvanZhou/PyTorch-Tutorial

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

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

Last synced: 15 Mar 2025

https://github.com/morvanzhou/tensorflow-tutorial

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

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

Last synced: 14 May 2025

https://github.com/MorvanZhou/Tensorflow-Tutorial

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

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

Last synced: 07 May 2025

https://github.com/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 bulli do dropout gabriel her not please satan satania thx waifu

Last synced: 21 Jul 2025

https://github.com/miguelvr/dropblock

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

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

Last synced: 16 May 2025

https://github.com/parasdahal/deepnet

Educational deep learning library in plain Numpy.

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

Last synced: 19 Jul 2025

https://github.com/jonathanraiman/theano_lstm

:microscope: Nano size Theano LSTM module

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

Last synced: 05 Apr 2025

https://github.com/jackpopc/ailearnnotes

Artificial Intelligence Learning Notes.

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

Last synced: 24 Oct 2025

https://github.com/hwalsuklee/tensorflow-mnist-cnn

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

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

Last synced: 12 May 2025

https://github.com/seba-1511/lstms.pth

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

dropout gal lstm moon pytorch rnn

Last synced: 14 Apr 2025

https://github.com/anicetngrt/jiro-nn

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

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

Last synced: 09 Apr 2025

https://github.com/lonepatient/daguan_2019_rank9

datagrand 2019 information extraction competition rank9

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

Last synced: 09 Apr 2025

https://github.com/AnicetNgrt/jiro-nn

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

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

Last synced: 25 Sep 2025

https://github.com/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 deep-graph-library deep-graph-networks dropout graph-neural-networks normalization ogb skip-connections training-tricks

Last synced: 19 Apr 2025

https://github.com/j-min/dropouts

PyTorch Implementations of Dropout Variants

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

Last synced: 15 May 2025

https://github.com/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.

auto-differentiation cartpole computational-graphs convolutional-networks convolutional-neural-networks deep-learning deep-q-network dropout lenet lstm lstm-model machine-learning mnist neural-turing-machines question-answering recurrent-neural-networks reinforcement-learning

Last synced: 29 Jul 2025

https://github.com/emilwallner/deep-learning-101

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

deep-learning dropout machine-learning regularization tflearn

Last synced: 23 Feb 2026

https://github.com/ahmedfgad/cifar10cnnflask

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

cnn computer-vision convnet convolutional-neural-network css dropout flask fully-connected-network html http image-classification image-processing javascript max-pooling python relu tensorflow web-application

Last synced: 23 Apr 2025

https://github.com/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

dropout moe self-slimmable transformer

Last synced: 23 Aug 2025

https://github.com/hwalsuklee/numpy-neuralnet-exercise

Implementation of key concepts of neuralnetwork via numpy

cnn cross-entropy-loss deeplearning dropout mnist neural-network numpy numpy-neuralnet-exercise regularization relu sgd xavier-initializer

Last synced: 13 Apr 2025

https://github.com/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

adam autonomous-driving batchnorm cnn dropout face-recognition hyperparameter-tuning keras lstm music-generation natural-language-processing neural-style-transfer regularization residual-networks rnn speech-recognition tensorflow translation xavier-he-initialization yolo

Last synced: 07 May 2025

https://github.com/srinadhu/CS231n

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

batchnorm cifar10 class-visualization coco-dataset convolutional-neural-networks cs231n-assignment dropout fooling-images gan image-captioning knn lstm network-visualization numpy pytorch rnn saliency-map softmax-classifier style-transfer svm

Last synced: 27 Nov 2025

https://github.com/rakibhhridoy/anomalydetectionintimeseriesdata-keras

Statistics, signal processing, finance, econometrics, manufacturing, networking[disambiguation needed] and data mining, anomaly detection (also outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions.

anomaly-detection autoencoder autoencoders deep-learning dropout keras lstm machine-learning numpy pandas python regularization tensorflow threshold

Last synced: 26 Feb 2026

https://github.com/pris-cv/advanceddropout

Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization (IEEE TPAMI 2021)

dropout

Last synced: 24 Apr 2025

https://github.com/aurelio-amerio/concretedropout

Concrete Dropout implementation for Tensorflow 2.0 and PyTorch

concrete-dropout deep-learning dropout machine-learning neural-network pytorch pytorchlightning tensorflow

Last synced: 17 Mar 2026

https://github.com/aurelio-amerio/ConcreteDropout

Concrete Dropout implementation for Tensorflow 2.0 and PyTorch

concrete-dropout deep-learning dropout machine-learning neural-network pytorch pytorchlightning tensorflow

Last synced: 04 May 2025

https://github.com/gtesei/deepexperiments

TensorFlow/Keras experiments on computer vision and natural language processing

alexnet autoencoders computer-vision convolution convolutional-neural-networks deep-learning dropout generative-adversarial-network keras keras-neural-networks mnist natural-language-processing neural-networks regularization tensorflow tensorflow-experiments tensorflow-tutorials word2vec word2vec-model

Last synced: 24 Oct 2025

https://github.com/sushant1827/fashion-clothing-classification

Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images

adam-optimizer categorical-cross-entropy classification classification-report conv2d dropout keras keras-classification-models keras-neural-networks maxpooling model-evaluation reshaping splitting subplots

Last synced: 07 Mar 2026

https://github.com/sushant1827/Fashion-Clothing-Classification

Kaggle Machine Learning Competition Project : In this project, we will create a classifier to classify fashion clothing into 10 categories learned from Fashion MNIST dataset of Zalando's article images

adam-optimizer categorical-cross-entropy classification classification-report conv2d dropout keras keras-classification-models keras-neural-networks maxpooling model-evaluation reshaping splitting subplots

Last synced: 14 Oct 2025

https://github.com/z7zuqer/dropblock-caffe

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

caffe dropout regularization

Last synced: 15 Apr 2025

https://github.com/cyberzhg/keras-targeted-dropout

Targeted dropout implemented in Keras

dropout keras regularization

Last synced: 05 Oct 2025

https://github.com/kinoute/elyane

An OOP Deep Neural Network using a similar syntax as Keras with many hyper-parameters, optimizers and activation functions available.

adam-optimizer deep-learning dropout l2-regularization momentum neural-network oop python rmsprop softmax

Last synced: 13 May 2025

https://github.com/rizwanmunawar/cats-vs-dogs-classification-computer-vision-

Cats vs dogs classification using deep learning. Data augmentation and convolutional neural networks.

cats-vs-dogs-classification convolutional-neural-networks data-augmentation deeplearning dropout google-colab-notebook google-colaboratory

Last synced: 14 Aug 2025

https://github.com/ashishpatel26/regularization-collection-deeplearning

This is Collection of Regularization Deep learning techniques with code and paper

alphadropout deeplearning dropout dropout-keras dropout-probability dropout-pytorch l1-normalization l2normalization machinelearning regularization regularization-hyperparameters regularization-methods

Last synced: 02 Jan 2026

https://github.com/arkanivasarkar/deep-learning-from-scratch

Implementation of a Fully Connected Neural Network, Convolutional Neural Network (CNN), and Recurrent Neural Network (RNN) from Scratch, using NumPy.

activation-functions batchnorm cnn cross-entropy-loss deep-learning dropout feedforward-neural-network neural-network neural-networks-from-scratch numpy oops-in-python optimizer pooling rnn university-assignment

Last synced: 13 May 2026

https://github.com/kalthommusa/udacity-intro-to-deep-learning-introduction-to-neural-network

Collection of my notes from Udacity's Intro to Deep Learning--> Introduction to Neural Networks course.

activation-functions artificial-intelligence bias-variance classification deep-learning dnn dropout generalization gradient-descent-algorithm linear-regression logistic-regression machine-learning neural-network neural-networks regularization weights

Last synced: 16 Feb 2026

https://github.com/charlesaverill/kerastroke

A suite of the generalization-improvement techniques Stroke, Pruning, and NeuroPlast

artificial-intelligence dropout machine-learning neural-network psychology

Last synced: 09 Feb 2026

https://github.com/chekoduadarsh/random-pixel-drop

augmentation-libraries dropout dropped-pixels image-augmentation-preprocessing imagedatagenerator

Last synced: 03 Apr 2025

https://github.com/epsoft/keras-convolutianl-networks

Keras Convolutianl Networks

activation batchnormalization conv2d dense dropout flatten glorot-uniform ipython keras-convolutianl-networks l2 matplotlib maxpooling2d sequential tensorflow to-categorical

Last synced: 04 Apr 2026

https://github.com/bhattbhavesh91/dropout-walkthrough

A repository to show how Dropout in Keras can Prevent Overfitting

dropout dropout-keras keras keras-neural-networks keras-tensorflow neural-networks overfitting

Last synced: 18 Apr 2026

https://github.com/sushantdhumak/lstm_for_household_power_consumption

This project explores the application of Long Short-Term Memory (LSTM) networks in predicting household power consumption. Using data collected at one-minute intervals, we demonstrate how LSTM can be leveraged for accurate forecasting.

correlation-analysis data-visualization dropout evaluation-metrics feature-engineering lstm lstm-model resampling reshaping-datasets time-series-analysis time-series-forecasting

Last synced: 26 Mar 2025

https://github.com/sushant1827/lstm_for_household_power_consumption

This project explores the application of Long Short-Term Memory (LSTM) networks in predicting household power consumption. Using data collected at one-minute intervals, we demonstrate how LSTM can be leveraged for accurate forecasting.

correlation-analysis data-visualization dropout evaluation-metrics feature-engineering lstm lstm-model resampling reshaping-datasets time-series-analysis time-series-forecasting

Last synced: 19 May 2026

https://github.com/iamkankan/regularization

Tutorial to handle Overfitting-Underfitting

dropout lasso ridge

Last synced: 19 Mar 2026

https://github.com/ahmed-hassan-ai/nlp-sentiment-analysis

Sentiment Analysis

dropout keras lstm matplotlib numpy pandas regularization seaborn

Last synced: 30 Apr 2026

https://github.com/aminkhavari78/text-generation-with-lstm-recurrent-neural-networks-in-python-with-keras

use LSTM model for text generation

dropout io lstm-neural-networks numpy pandas sequence-models sys text-processing

Last synced: 20 Apr 2026

https://github.com/abeed04/sentiment-analysis-using-recurrent-neural-networks

Bidirectional RNNs are used to analyze the sentiment (positive, negative, neutral) of movie reviews. .

bidirectional-lstm bidirectional-rnn dropout embeddings nlp-machine-learning nltk-python regular-expression spacy-nlp stopwords-removal tokenizer

Last synced: 31 May 2026

https://github.com/gugarosa/dropout_rbm

📄 Official implementation regarding the paper "Fine-Tuning Dropout Regularization in Energy-Based Deep Learning".

dropout fine-tuning implementation paper rbm

Last synced: 18 Mar 2025

https://github.com/elaheghiyabi96/fashion_mnist_nn_torch

"Simple neural network model using Torch for classifying the Fashion MNIST dataset, implemented with Torch."

adam-optimizer cross-entropy-loss deep-learning dropout fashion-mnist feedforward-neural-network image-classification machine-learning model-evaluation model-training neural-network pytorch relu-activation test-accuracy training-loss

Last synced: 20 Aug 2025

https://github.com/shimazadeh/neural_networks

the implementation of a multilayer perceptron

backpropagation dropout feedforward-neural-network gradient-descent machine-learning neural-network optuna regularization-methods

Last synced: 14 Jul 2025

https://github.com/trilokida/employee-retention

Figuring Out Which Employees May Quit

deep-learning dropout employee-retention human-resources keras-tensorflow logistic-regression machine-learning neural-network random-forest retention retention-analysis scikitlearn-machine-learning

Last synced: 19 Jul 2025

https://github.com/iamsdt/deploybndegit

A web app where user can draw Bengali digit and the AI model can detect handwritten digit and predict the digit.

ai bengali-digit cnn-classification dropout flask gunicorn heroku-deployment pytorch pytorch-implementation relu

Last synced: 04 May 2026

https://github.com/harmanveer-2546/diagnosis-of-pneumonia-by-cnn-classifier

The primary objective s to develop an accurate and efficient classification model capable of identifying pneumonia cases in patients based on chest X-ray images. Pneumonia is a prevalent and potentially life-threatening respiratory infection. Early detection plays a critical role in timely intervention and effective treatment.

binary-accuracy dropout flatten keras loadimg matplotlib maxpooling2d numpy python regularizers roc-curve seaborn sequential-models tensorflow vgg16

Last synced: 09 Apr 2026

https://github.com/kwokhing/tf2-cifar10-cnn-demo

Demo on performing multiclass image classification using Convolutional Neural Network (CNN) in Tensorflow 2. Techniques such as earlystopping, batchnormalizing and dropout are explored to prevent overfitting

batchnormalization cifar10 cnn-classification convolutional-layers convolutional-neural-networks dropout earlystopping savedmodel tensorboard tensorflow tensorflow2 vgg

Last synced: 10 May 2026

https://github.com/trilokida/hand_sign_language_recognition

adam-optimizer alexnet classification-model cnn convolutional-neural-networks deep-neural-networks dropout hand-sign keras python3 sgd-momentum sgd-optimizer sign sign-language sign-language-recognition

Last synced: 08 May 2026

https://github.com/g-eoj/deep-learning-notebooks

Collection of notebooks I made on deep learning topics.

adam adamax backpropagation convolutional-neural-network cs231n dropout math notebook sgd visualization

Last synced: 03 Sep 2025

https://github.com/dvorka/mindforger-neural-network

C++ simple neural network library ~ rewrite of ANSI C Genann https://codeplea.com/genann to C++ w/ minor improvements.

ai backpropagation dropout machine-learning neural-network neuron regularization

Last synced: 27 May 2026

https://github.com/lovesaroha/learning-neural-networks

Various concepts of neural networks applied in python (numpy) to help people get started with AI.

batch-normalization dropout gradient-descent logistic-regression neural-network numpy python regularization

Last synced: 08 May 2026

https://github.com/harmanveer-2546/retinal-disease-classification

The number of visually impaired people worldwide is estimated to be 2.2 billion, of whom at least 1 billion have a vision impairment that could have been prevented or is yet to be addressed. Early detection and diagnosis of ocular pathologies would enable forestall of visual impairment.

3d-graph classification confusion-matrix densenet dropout keras matplotlib maxpooling2d opencv os plotly retinal-diseases retinal-images seaborn sequential-models tensorflow test-train-split visualization

Last synced: 20 Jan 2026

https://github.com/beenish-ishtiaq/dep-task-4-image-classification-cifar10

Developed a Convolutional Neural Network (CNN) model to classify images into 10 categories. The project includes data augmentation, model building, training, and evaluation.

cifar10 convolutional-neural-networks data-augmentation deep-learning dropout image-classification machine-learning model-training python regularization