NikolasMarkou/dl_techniques
Advanced deep learning learning techniques, layers, activations loss functions, all in keras / tensorflow
Lifelong technologist, pragmatic software engineer and experienced machine learning practitioner.
Repositories
NikolasMarkou/fsm_llm
A Finite State Machine hybrid with Large Language Models
NikolasMarkou/repo-remap
Rebuild a repository's documentation map by generating self-contained README.md and CLAUDE.md
NikolasMarkou/multiscale_variational_autoencoder
Building a multiscale variational autoencoder
NikolasMarkou/iterative-planner
A Claude Code skill state-machine driven iterative planning and execution protocol for complex coding tasks
NikolasMarkou/crystal
Exploring a new initialization on deep learning based on an isosceles simplex scheme
NikolasMarkou/ai_audit
Collection and notes on AI standards
NikolasMarkou/python-code
Claude Code for python coding
NikolasMarkou/ml_audit
Claude code skill and notes for auditing ML solutions
NikolasMarkou/epistemic-deconstructor
Claude skill for reverse engineering systems
NikolasMarkou/agent-builder
Claude Skill for building agents
NikolasMarkou/NikolasMarkou
bio
NikolasMarkou/cashflow-app
A production-grade Python package for multi-account cash flow forecasting with layered architecture, transfer netting, cash flow decomposition, and LLM-ready explainability output.
NikolasMarkou/datasharing
The Leek group guide to data sharing
NikolasMarkou/libzerocoin
Zerocoin: C++ lib for anonymous extension to bitcoin
NikolasMarkou/ObjectDetector
A small opencv based utility that is used to extract images from pictures or videos
NikolasMarkou/datasciencecoursera
This is parth of the Coursera Data Science Specialization course
NikolasMarkou/caffe
Caffe: a fast open framework for deep learning.
NikolasMarkou/fast-rcnn
Fast R-CNN
NikolasMarkou/Accord-Framework
Machine learning, computer vision, statistics and general scientific computing for .NET
NikolasMarkou/barcode-reader
Bardcode reader
NikolasMarkou/SOLID_CPP
Demonstration of the S.O.L.I.D principles in C++
NikolasMarkou/bash.snippets
Useful bash snippets collected over time
NikolasMarkou/SqueezeNet
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
NikolasMarkou/solving_mnist
Deep learning pattern recognition on the famous mnist dataset
NikolasMarkou/Histogram_ND_CPP
A modern C++11 header only implementation of a generic n-dimensional histogram with no dependencies
NikolasMarkou/mnist_inv_relu_hypothesis
Exploring the predictive power of the inverse of ReLU cutouts
NikolasMarkou/onnx-tensorrt
ONNX-TensorRT: TensorRT backend for ONNX
NikolasMarkou/bigbrain
A extendible and robust way of deploying production level deep learning models
NikolasMarkou/protobuf
Protocol Buffers - Google's data interchange format