Welcome to my blog, where I document my daily encounters with a wide range of technologies. From web frameworks (both frontend and backend) to AWS, Azure, Machine Learning & AI, and DevOps, I cover it all. As a technological polyglot, I’ve worked with and learned about an extensive array of technologies. This blog serves as a personal repository to help me remember and share my experiences.
Posts
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Denoising autoencoders, Part 3 - improving the denoising quality with a custom loss function
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Detecting Conformance to Benford’s Law Using Apache Spark
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Denoising autoencoders, Part 2 - transformer-based denoising
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Denoising autoencoders, Part 1 - basic denoising
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Semantic search engines comparison, Part 3 - Milvus
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Semantic search engines comparison, Part 2 - performance considerations
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Semantic search engines comparison, Part 1 - ChromaDB, Elasticsearch and PostgreSQL
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Attention mechanisms explained… Again!
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Multiple bounding box detection, Part 3 - fine tuning the backbone network: supplement
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Multiple bounding box detection, Part 3 - fine tuning the backbone network
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Deploying AWS lambda to LocalStack with Terraform
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Multiple bounding box detection, Part 2 - preparing region proposals for the fine tuning phase
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Provisioning AWS infrastructure for deep learning project
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Provisioning Azure infrastructure for deep learning project
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Similarity scoring in PostgreSQL
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Multiple bounding box detection, Part 1 - data preparation
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Provisioning an Azure-hosted PostgreSQL database with Terraform
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Building an Azure serverless app
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Comparing models using SmoothL1Loss and CIoU loss functions
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Bounding box detection for HAM10000 dataset with bigger model and CIoU loss function
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Bounding box detection for HAM10000 dataset
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Running Jupyter Notebooks in a loop
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