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aimap

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

basiclstm

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

basicrnn

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

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.

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-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.

fast-kubernetes

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

fast-pytorch

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

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.

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..

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

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)

keras

Deep Learning for humans

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

ml-monitoring

A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.

modelbuild_pipeline

Test Repo for Model Build

modeldeploy_pipeline

Test Repo for Model Deploy

musicgeneration

Music generation with LSTM model (Keras)

neuralstyletransfer

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

omerbsezer

policygradient_ponggame

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

qlearning_cartpole

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

qlearning_mountaincar

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

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..

sentimentanalysis

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

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)