ML Application · Python

fresta-edge

Domain evaluation lens generator built on the Fresta Lens Framework

Tiago Santos@EviAmarates · Atlas 60.4 · #6= builder

View on GitHub5 Open Tiago Santos's Atlas

What it is

FRSTA-EDGE is a Python script that generates domain-specific evaluation lenses using a three-order structural analysis framework, leveraging Wikipedia/web scraping and a local LLM to produce weighted metrics, interdependency maps, systemic stress factors, and buyer profiles.

complexity
domain-analysis
entropy
evaluation
framework
llm
prompt-engineering
python
structural-analysis
systems-thinking

Scored from the code at its last scan, 21 Oct 2026. How merit is scored

Where it counts

Machine Learning60%
NLP & LLMs60%
Data Science40%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the Machine Learning board

Whole board

RankProjectBuilderFieldMerit

21LeNet_5-from-scratchArchitecture Reimplementation · Jupyter NotebookThis repository provides a from-scratch PyTorch reimplementation of the LeNet-5 architecture, including a custom radial basis function output layer and loss function as described in the original paper. It includes unit tests, a training notebook, and a trained checkpoint for…57.7/100ImplementationPop AlexandruMachine Learning
22, shared rankcdeEducational Implementation · PythonThe repository presents the Compiled Domain Expertise (CDE) framework and Quantized Semantic Bottleneck Architecture (QSBA) as a specification for compiling domain expertise into deterministic instruction sets. It includes a reference implementation in the form of an Algebra…57.4/100ImplementationJarad PeckenpaughMachine Learning
22, shared rankmines-livive-netTraining Experiment · JavaScriptThis repository provides a training and evaluation pipeline for reinforcement learning agents applied to the 8x8 Minesweeper game. It includes custom game environment, model architecture, training scripts (behavior cloning and REINFORCE), evaluation tools, and generates…57.4/100ImplementationJarad PeckenpaughMachine Learning
22, shared rankfresta-edgeML Application · Python57.4/100ImplementationTiago SantosMachine Learning
25pcap-ml-traffic-classifierML Application · PythonThis repository provides a machine learning-based network intrusion detection system that extracts L3/L4 features from PCAP files using Scapy and trains a CatBoost classifier to distinguish benign from malicious traffic. It includes a threat intelligence reporting feature that…56.2/100ImplementationPop AlexandruMachine Learning

What it is

Where it counts

Around it on the Machine Learning board

More from Tiago Santos