| Machine Learning | 42 |
|---|---|
| Computer Vision | 0 |
| Data Science | 18 |
| NLP & LLMs | 46 |
| AI Agents | 0 |
| MLOps | 8 |
Each node is one domain, scored only from evidence in these public repositories. Select one to see why.
Substantial implementations with real depth.
7 public repositories → 3 with AI work, evaluated. The other 4 (repositories without AI code, forks and empty repositories) are not scored and have no effect on the result. How repositories are selected
Ordered by how much each project adds to the Atlas score, not by its own score. A project with evidence in several domains can rank above one with a slightly higher project score. Choose a domain to focus on the projects with meaningful evidence there.
80% of Atlas Score
This repository provides a Flask-based API that exposes various natural language processing tools (summarization, keyword extraction, question answering, semantic search, word cloud generation, and text classification) using pretrained models and a SQLite database for the MESOC-Serapeum project.
13% of Atlas Score
A Flask-based API that loads pre-trained ktrain text classification models (fasttext, BiGRU, NB-SVM) and returns predictions for article content fetched from a URL.
7% of Atlas Score
The repository provides a Flask API that loads a pre‑sentence‑transformer model and a FAISS index to perform similarity search over a SQLite database of documents.
