Pinned Repositories
AspNetCore.Docs
Documentation for ASP.NET Core
AspnetCoreMongoDbAngular4
Asp.net Core MongoDb Angular 4 sample
AwsNetSample
Aws .Net Sample
bindsnet_experiments_syf
bitcoin
Bitcoin Core integration/staging tree
BookStore
My Book Store
CatalogService
Catalog Service using Asp.net core 6.0 RabbitMq Sqlite
CatalogServiceDotNetCore
Catalog Service .Net Core
ChatSecureAndroid
AKA "GIBBERBOT" Off-the-Record Encrypted Chat App
stockprediction
Stock price prediction experiments
seyfullah's Repositories
seyfullah/stockprediction
Stock price prediction experiments
seyfullah/CatalogService
Catalog Service using Asp.net core 6.0 RabbitMq Sqlite
seyfullah/AspNetCore.Docs
Documentation for ASP.NET Core
seyfullah/AspnetCoreMongoDbAngular4
Asp.net Core MongoDb Angular 4 sample
seyfullah/AwsNetSample
Aws .Net Sample
seyfullah/bindsnet_experiments_syf
seyfullah/bitcoin
Bitcoin Core integration/staging tree
seyfullah/BookStore
My Book Store
seyfullah/CatalogServiceDotNetCore
Catalog Service .Net Core
seyfullah/ChatSecureAndroid
AKA "GIBBERBOT" Off-the-Record Encrypted Chat App
seyfullah/HisseDeneme
seyfullah/is-emirleri
İş Emirleri
seyfullah/KaggleWorks
Kaggle Works
seyfullah/kelimem_dogru_mu
seyfullah/keras-retinanet
Keras implementation of RetinaNet object detection.
seyfullah/LDCNN
MatConvNet implementation for low dimensional CNN “Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval”
seyfullah/myamplifyproject
seyfullah/MyCodeStarProject
Repository created by AWS CodeStar.
seyfullah/NeuroMorphicComputing
seyfullah/quran-nlp
quran-nlp is an opensource project
seyfullah/raccoon_dataset
The dataset is used to train my own airplane detector
seyfullah/REST_Oracle
seyfullah/RSSCN7
Dataset of the article “Deep Learning Based Feature Selection for Remote Sensing Scene Classification”
seyfullah/Simple-Artist-API
seyfullah/Smack
An Open Source XMPP (Jabber) client library
seyfullah/spacy-course-study
seyfullah/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
seyfullah/twitter-text
Twitter Text Libraries. This code is used at Twitter to tokenize and parse text to meet the expectations for what can be used on the platform.
seyfullah/webscraping