Blog Archive

python

• February 2026 - Building a tree-based model training pipeline with scoring
• February 2026 - Avoiding Python in Python
• September 2025 - Denoising autoencoders, Part 3 - improving the denoising quality with a custom loss function
• August 2025 - Detecting Conformance to Benford’s Law Using Apache Spark
• August 2025 - Denoising autoencoders, Part 2 - transformer-based denoising
• January 2025 - Denoising autoencoders, Part 1 - basic denoising
• December 2024 - Attention mechanisms explained… Again!
• November 2024 - Multiple bounding box detection, Part 3 - fine tuning the backbone network: supplement
• November 2024 - Multiple bounding box detection, Part 3 - fine tuning the backbone network
• November 2024 - Deploying AWS lambda to LocalStack with Terraform
• November 2024 - Multiple bounding box detection, Part 2 - preparing region proposals for the fine tuning phase
• August 2024 - Multiple bounding box detection, Part 1 - data preparation
• July 2024 - Comparing models using SmoothL1Loss and CIoU loss functions
• July 2024 - Bounding box detection for HAM10000 dataset with bigger model and CIoU loss function
• July 2024 - Bounding box detection for HAM10000 dataset
• July 2024 - Running Jupyter Notebooks in a loop

jupyter notebooks

• July 2024 - Running Jupyter Notebooks in a loop

computer vision

• September 2025 - Denoising autoencoders, Part 3 - improving the denoising quality with a custom loss function
• August 2025 - Denoising autoencoders, Part 2 - transformer-based denoising
• January 2025 - Denoising autoencoders, Part 1 - basic denoising
• November 2024 - Multiple bounding box detection, Part 3 - fine tuning the backbone network: supplement
• November 2024 - Multiple bounding box detection, Part 3 - fine tuning the backbone network
• November 2024 - Multiple bounding box detection, Part 2 - preparing region proposals for the fine tuning phase
• August 2024 - Multiple bounding box detection, Part 1 - data preparation
• July 2024 - Comparing models using SmoothL1Loss and CIoU loss functions
• July 2024 - Bounding box detection for HAM10000 dataset with bigger model and CIoU loss function
• July 2024 - Bounding box detection for HAM10000 dataset

pytorch

• September 2025 - Denoising autoencoders, Part 3 - improving the denoising quality with a custom loss function
• August 2025 - Denoising autoencoders, Part 2 - transformer-based denoising
• January 2025 - Denoising autoencoders, Part 1 - basic denoising
• November 2024 - Multiple bounding box detection, Part 3 - fine tuning the backbone network: supplement
• November 2024 - Multiple bounding box detection, Part 3 - fine tuning the backbone network
• November 2024 - Multiple bounding box detection, Part 2 - preparing region proposals for the fine tuning phase
• July 2024 - Comparing models using SmoothL1Loss and CIoU loss functions
• July 2024 - Bounding box detection for HAM10000 dataset with bigger model and CIoU loss function
• July 2024 - Bounding box detection for HAM10000 dataset

math

• January 2025 - Denoising autoencoders, Part 1 - basic denoising
• December 2024 - Attention mechanisms explained… Again!
• November 2024 - Multiple bounding box detection, Part 3 - fine tuning the backbone network: supplement
• November 2024 - Multiple bounding box detection, Part 3 - fine tuning the backbone network
• July 2024 - Comparing models using SmoothL1Loss and CIoU loss functions

ciou

• July 2024 - Comparing models using SmoothL1Loss and CIoU loss functions

smoothl1

• July 2024 - Comparing models using SmoothL1Loss and CIoU loss functions

cloud

• November 2024 - Deploying AWS lambda to LocalStack with Terraform
• October 2024 - Provisioning AWS infrastructure for deep learning project
• October 2024 - Provisioning Azure infrastructure for deep learning project
• July 2024 - Provisioning an Azure-hosted PostgreSQL database with Terraform
• July 2024 - Building an Azure serverless app

azure

• October 2024 - Provisioning Azure infrastructure for deep learning project
• July 2024 - Provisioning an Azure-hosted PostgreSQL database with Terraform
• July 2024 - Building an Azure serverless app

functions

• July 2024 - Building an Azure serverless app

azure-function

• July 2024 - Building an Azure serverless app

c#

• July 2024 - Provisioning an Azure-hosted PostgreSQL database with Terraform
• July 2024 - Building an Azure serverless app

open-api

• July 2024 - Building an Azure serverless app

terraform

• November 2024 - Deploying AWS lambda to LocalStack with Terraform
• October 2024 - Provisioning AWS infrastructure for deep learning project
• October 2024 - Provisioning Azure infrastructure for deep learning project
• July 2024 - Provisioning an Azure-hosted PostgreSQL database with Terraform

shell

• October 2024 - Provisioning AWS infrastructure for deep learning project
• October 2024 - Provisioning Azure infrastructure for deep learning project
• July 2024 - Provisioning an Azure-hosted PostgreSQL database with Terraform

powershell

• November 2024 - Deploying AWS lambda to LocalStack with Terraform
• July 2024 - Provisioning an Azure-hosted PostgreSQL database with Terraform

opencv

• November 2024 - Multiple bounding box detection, Part 2 - preparing region proposals for the fine tuning phase
• August 2024 - Multiple bounding box detection, Part 1 - data preparation

flood fill

• August 2024 - Multiple bounding box detection, Part 1 - data preparation

sql

• October 2024 - Similarity scoring in PostgreSQL

levenshtein

• October 2024 - Similarity scoring in PostgreSQL

similarity score

• October 2024 - Similarity scoring in PostgreSQL

jsonb

• October 2024 - Similarity scoring in PostgreSQL

aws

• November 2024 - Deploying AWS lambda to LocalStack with Terraform
• October 2024 - Provisioning AWS infrastructure for deep learning project

transfer learning

• September 2025 - Denoising autoencoders, Part 3 - improving the denoising quality with a custom loss function
• August 2025 - Denoising autoencoders, Part 2 - transformer-based denoising
• January 2025 - Denoising autoencoders, Part 1 - basic denoising
• November 2024 - Multiple bounding box detection, Part 3 - fine tuning the backbone network: supplement
• November 2024 - Multiple bounding box detection, Part 3 - fine tuning the backbone network
• November 2024 - Multiple bounding box detection, Part 2 - preparing region proposals for the fine tuning phase

selective search

• November 2024 - Multiple bounding box detection, Part 2 - preparing region proposals for the fine tuning phase

localstack

• November 2024 - Deploying AWS lambda to LocalStack with Terraform

sklearn

• November 2024 - Deploying AWS lambda to LocalStack with Terraform

sam-cli

• November 2024 - Deploying AWS lambda to LocalStack with Terraform

linear algebra

• January 2025 - Semantic search engines comparison, Part 3 - Milvus
• January 2025 - Semantic search engines comparison, Part 2 - performance considerations
• December 2024 - Semantic search engines comparison, Part 1 - ChromaDB, Elasticsearch and PostgreSQL
• December 2024 - Attention mechanisms explained… Again!

transformers

• January 2025 - Semantic search engines comparison, Part 3 - Milvus
• January 2025 - Semantic search engines comparison, Part 2 - performance considerations
• December 2024 - Semantic search engines comparison, Part 1 - ChromaDB, Elasticsearch and PostgreSQL
• December 2024 - Attention mechanisms explained… Again!

numpy

• December 2024 - Attention mechanisms explained… Again!

matplotlib

• December 2024 - Attention mechanisms explained… Again!

semantic search

• January 2025 - Semantic search engines comparison, Part 3 - Milvus
• January 2025 - Semantic search engines comparison, Part 2 - performance considerations
• December 2024 - Semantic search engines comparison, Part 1 - ChromaDB, Elasticsearch and PostgreSQL

chromadb

• January 2025 - Semantic search engines comparison, Part 3 - Milvus
• January 2025 - Semantic search engines comparison, Part 2 - performance considerations
• December 2024 - Semantic search engines comparison, Part 1 - ChromaDB, Elasticsearch and PostgreSQL

milvus

• January 2025 - Semantic search engines comparison, Part 3 - Milvus
• January 2025 - Semantic search engines comparison, Part 2 - performance considerations
• December 2024 - Semantic search engines comparison, Part 1 - ChromaDB, Elasticsearch and PostgreSQL

elasticsearch

• January 2025 - Semantic search engines comparison, Part 3 - Milvus
• January 2025 - Semantic search engines comparison, Part 2 - performance considerations
• December 2024 - Semantic search engines comparison, Part 1 - ChromaDB, Elasticsearch and PostgreSQL

postgresql

• January 2025 - Semantic search engines comparison, Part 3 - Milvus
• January 2025 - Semantic search engines comparison, Part 2 - performance considerations
• December 2024 - Semantic search engines comparison, Part 1 - ChromaDB, Elasticsearch and PostgreSQL

ponyorm

• January 2025 - Semantic search engines comparison, Part 3 - Milvus
• January 2025 - Semantic search engines comparison, Part 2 - performance considerations
• December 2024 - Semantic search engines comparison, Part 1 - ChromaDB, Elasticsearch and PostgreSQL

fastapi

• January 2025 - Semantic search engines comparison, Part 3 - Milvus
• January 2025 - Semantic search engines comparison, Part 2 - performance considerations
• December 2024 - Semantic search engines comparison, Part 1 - ChromaDB, Elasticsearch and PostgreSQL

vector database

• January 2025 - Semantic search engines comparison, Part 3 - Milvus
• January 2025 - Semantic search engines comparison, Part 2 - performance considerations
• December 2024 - Semantic search engines comparison, Part 1 - ChromaDB, Elasticsearch and PostgreSQL

embedding database

• January 2025 - Semantic search engines comparison, Part 3 - Milvus
• January 2025 - Semantic search engines comparison, Part 2 - performance considerations
• December 2024 - Semantic search engines comparison, Part 1 - ChromaDB, Elasticsearch and PostgreSQL

rag

• January 2025 - Semantic search engines comparison, Part 3 - Milvus
• January 2025 - Semantic search engines comparison, Part 2 - performance considerations
• December 2024 - Semantic search engines comparison, Part 1 - ChromaDB, Elasticsearch and PostgreSQL

transformer

• September 2025 - Denoising autoencoders, Part 3 - improving the denoising quality with a custom loss function
• August 2025 - Denoising autoencoders, Part 2 - transformer-based denoising

spark

• August 2025 - Detecting Conformance to Benford’s Law Using Apache Spark

scipy

• August 2025 - Detecting Conformance to Benford’s Law Using Apache Spark

testing

• August 2025 - Detecting Conformance to Benford’s Law Using Apache Spark

gradcam

• September 2025 - Denoising autoencoders, Part 3 - improving the denoising quality with a custom loss function

apache arrow

• February 2026 - Avoiding Python in Python

pyarrow

• February 2026 - Avoiding Python in Python

polars

• February 2026 - Avoiding Python in Python

ipc

• February 2026 - Avoiding Python in Python

xgboost

• February 2026 - Building a tree-based model training pipeline with scoring

lightgbm

• February 2026 - Building a tree-based model training pipeline with scoring

catboost

• February 2026 - Building a tree-based model training pipeline with scoring

optuna

• February 2026 - Building a tree-based model training pipeline with scoring

mlflow

• February 2026 - Building a tree-based model training pipeline with scoring