vb100

AnomaliesDetection-with-TimeSeriesAnalysis

This is an experimental of anomalies detection by applying different approach to the problem. PCA component regularization method, K-Mean Clustering, SVM and Gausian Distribution models has been used to detect anomalies on time series data.

Deep-Learning---Recognize-Infected-Cells-by-Malaria--Adam--Sigmoid-

The project contain folders for labeled infected and non-infected cells by malaria. The code define an 4 layers ANN that learning to recognize infected cells by a given shuffled examples from working directory and provide a learning curve as output. For optimization Adam and MiniBatch methods have been applied (Tensorflow).

deploy-ml-mlflow-aws

Deploying Models to Production with Mlflow and AWS Sagemaker

Ensemble-Learning-Testing-Classifiers

Testing and Exploration of Ensemble Learning with poor dataset (66 obs). Results are provided at the end of the Notebook.

multivariate-lstm

Pneumonia-X-Rays-of-Human-Lungs-AI-project

This projects includes both back-end (Keras, Flask with dependencies) and front-end/deployement (HTML, CSS, JS) parts. The project perform X-rays of human lungs classifiaction using Convolutional Neural Networks with automated image pre-processing and internal procedures. Saved files of inspected models are saved on specific folders in project directory.

Tensorflow-ANN-TimeSeries-Forecasting-Weather

This notebook demonstrates how to implement Tensorflow & queries to forecasting for a very big dataset. ANN with 2 hidden layers has been used for ANN. The data shifting technique has been used to generate Train and Test (validation) sets.

Visualize-3D-MRI-Scans-Brain-case

The notebook introduces how to visualize 3D MRI data (Brain Scans case)

whisper_ai_finetune

Fine-tune WhisperAI model to your language

XgBoost-Evaluate-Data-Features-Machine-Learning

This code uses innovative XgBoost Machine learning algorithm that analyze data features and evalute it's importances in order to make data driven solutions in real estate. © Vytautas Bielinskas

vb100/Pneumonia-X-Rays-of-Human-Lungs-AI-project

This projects includes both back-end (Keras, Flask with dependencies) and front-end/deployement (HTML, CSS, JS) parts. The project perform X-rays of human lungs classifiaction using Convolutional Neural Networks with automated image pre-processing and internal procedures. Saved files of inspected models are saved on specific folders in project directory.

vb100/deploy-ml-mlflow-aws

Deploying Models to Production with Mlflow and AWS Sagemaker

vb100/whisper_ai_finetune

Fine-tune WhisperAI model to your language

vb100/ml-ops-ci

MLOps example

vb100/MLOps-Notes

Machine Learning Operations (MLOps) Noted collected from various sources

vb100/mlops-track-perf-branches

vb100/aws-cicd-pipeline

Experimenting on CICD and Terraform

vb100/Deploy_Kubernetes_AWS_EC2

This manual explain how to setup AWS EC2 instance and set-up a Kubernetes Cluster inside

vb100/langchain_pydantic

Example of using LangChain with Pydantic to get output in specific data format in Python

vb100/openai-test-api

Test OpenAI API: text completion, code completion with Codex, and image generation with DALLE-E

vb100/github-action-to-ecr

Repo demonstrating how to create an AWS ECR Image with Github Action

vb100/KMeans-FlaskApp

Transform Python script for K-Means into Flask application

vb100/langchain_sequentialchain_demo

This code is an example of LLM LangChain SequentialChain usage in Python

vb100/spark_ml_train_model

This repo contains files required to follow example on Youtube which shows how to train Spark ML model from scratch

vb100/autoencoder_outliers

Find outliers in data with AutoEncoders

vb100/corr_matrix_sns_experiment

Showing a normal and improved way to build a heatmap with Seaborn

vb100/cython_vs_python

Compare Cython and Python native functions - very simple example

vb100/docker-container

Preparing for badge

vb100/docker-to-aws-ecr

Test

vb100/dvc_project

For Youtube tutorial - Data Science Garage

vb100/g-website

Personal Profile Website

vb100/mlops-track-br-performance

vb100/pandas-to-gcp-bucket

Python file skeleton to upload Pandas DataFrame to GCP Data storage bucket

vb100/podcasts_rag

RAG architecture for SuperDataScience podcasts

vb100/polars_vs_pandas

Experiment: test performance between Pandas and Polars

vb100/spacy_text_classificator

This repo introduces how to use Spacy with Setfit to fine tune text classificator with just we samples

vb100/Starbucks-Capstone-Project

Final Udacity ML Engineering Project - Starbucks Case

vb100/Udacity-Pr2-PlagDetection

Project no.2 of Udacity - Machine Learning Engineering

vb100/Udacity-SageMaker-Project-Deploy

Project #1 from Udacity Machine Learning Engineering Course

vb100/website

Personal Website