Discover omerbsezer/TimeSeries2DBarChartImageCNN Open Source project

This repository has been archived on 23/Mar/2023
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38
Rank 706,870 (Top 14 %)
Language
Python
Created almost 7 years ago
Updated almost 2 years ago

omerbsezer

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Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)

Fast-Kubernetes

This repo covers Kubernetes with LABs: Kubectl, Pod, Deployment, Service, PV, PVC, Rollout, Multicontainer, Daemonset, Taint-Toleration, Job, Ingress, Kubeadm, Helm, etc.

PowerShell

1,773

Reinforcement_learning_tutorial_with_demo

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Jupyter Notebook

711

LSTM_RNN_Tutorials_with_Demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

Python

672

Fast-Ansible

This repo covers Ansible with LABs: Multipass, Commands, Modules, Playbooks, Tags, Managing Files and Servers, Users, Roles, Handlers, Host Variables, Templates and details.

Jinja

625

Fast-Docker

This repo covers containerization and Docker Environment: Docker File, Image, Container, Commands, Volumes, Networks, Swarm, Stack, Service, possible scenarios.

Dockerfile

566

Fast-Pytorch

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

Jupyter Notebook

427

Generative_Models_Tutorial_with_Demo

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Jupyter Notebook

326

Fast-Terraform

This repo covers Terraform (Infrastructure as Code) with LABs using AWS and AWS Sample Projects: Resources, Variables, Meta Arguments, Provisioners, Dynamic Blocks, Modules, Provisioning AWS Resources (EC2, EBS, EFS, VPC, IAM Policies, Roles, ECS, ECR, Fargate, EKS, Lambda, API-Gateway, ELB, S3, etc.

HCL

274

CNN-TA

Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.

Java

108

Fast-Kubeflow

This repo covers Kubeflow Environment with LABs: Kubeflow GUI, Jupyter Notebooks on pods, Kubeflow Pipelines, Experiments, KALE, KATIB (AutoML: Hyperparameter Tuning), KFServe (Model Serving), Training Operators (Distributed Training), Projects, etc.

Python

SparkDeepMlpGADow30

A Deep Neural-Network based (Deep MLP) Stock Trading System based on Evolutionary (Genetic Algorithm) Optimized Technical Analysis Parameters (using Apache Spark MLlib)

Java

SparkMlpDow30

A new stock trading and prediction model based on a MLP neural network utilizing technical analysis indicator values as features (using Apache Spark MLlib)

Java

AIMap

Map of Artificial Intelligence: Classifications, Approaches, Algorithms, Libraries, Tools, State of Art Studies, Awesome Repos, etc..

PolicyGradient_PongGame

Pong Game problem solving using RL - Policy Gradient with OpenAI Gym Framework and Tensorflow

Python

Qlearning_MountainCar

Mountain Car problem solving using RL - QLearning with OpenAI Gym Framework

Python

IoTSmartHomeOntologySimulator

A smart home sensor ontology (that is a specialized ontology based on the Semantic Sensor Networks (SSN) ontology) and simulation evironment of a smart home use case

Java

SentimentAnalysis

Sentences are classified in 5 different sentiment using LSTM (Keras). Results are expressed with emoji characters.

Python

NeuralStyleTransfer

Art/Painting Generation using AI (Neural Style Transfer) using Tensorflow

Python

BasicLSTM

The aim of this implementation is to help to learn structure of basic LSTM (LSTM cell forward, LSTM cell backward, etc..)

Python

IoTWeatherSensorsAnalysis

Proposed "An Extended IoT Framework" learning part is presented with a use case on weather data clustering analysis. Sensor faults and anomalies are determined using K-means clustering (using scikit-learn)

Python

MusicGeneration

Music generation with LSTM model (Keras)

Python

QLearning_CartPole

Cart Pole problem solving using RL - QLearning with OpenAI Gym Framework

Python

modelbuild_pipeline

Test Repo for Model Build

Python

omerbsezer/TimeSeries2DBarChartImageCNN

omerbsezer

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