Ömer Berat Sezer's repositories
Fast-Kubernetes
This repo covers Kubernetes with LABs: Kubectl, Pod, Deployment, Service, PV, PVC, Rollout, Multicontainer, Daemonset, Taint-Toleration, Job, Ingress, Kubeadm, Helm, etc.
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..
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
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.
Fast-Docker
This repo covers containerization and Docker Environment: Docker File, Image, Container, Commands, Volumes, Networks, Swarm, Stack, Service, possible scenarios.
Fast-Pytorch
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
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..
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.
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.
SparkDeepMlpGADow30
A Deep Neural-Network based (Deep MLP) Stock Trading System based on Evolutionary (Genetic Algorithm) Optimized Technical Analysis Parameters (using Apache Spark MLlib)
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)
TimeSeries2DBarChartImageCNN
Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)
PolicyGradient_PongGame
Pong Game problem solving using RL - Policy Gradient with OpenAI Gym Framework and Tensorflow
Qlearning_MountainCar
Mountain Car problem solving using RL - QLearning with OpenAI Gym Framework
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
ml-monitoring
A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.
NeuralStyleTransfer
Art/Painting Generation using AI (Neural Style Transfer) using Tensorflow
SentimentAnalysis
Sentences are classified in 5 different sentiment using LSTM (Keras). Results are expressed with emoji characters.
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)
MusicGeneration
Music generation with LSTM model (Keras)
QLearning_CartPole
Cart Pole problem solving using RL - QLearning with OpenAI Gym Framework
modelbuild_pipeline
Test Repo for Model Build
modeldeploy_pipeline
Test Repo for Model Deploy