AI-Atlas score
| Machine Learning | 61 |
|---|---|
| Computer Vision | 31 |
| Data Science | 31 |
| NLP & LLMs | 63 |
| AI Agents | 34 |
| MLOps | 48 |
Each node is one domain, scored only from evidence in these public repositories. Select one to see why.
Substantial implementations with real depth.
29 public repositories → 6 with AI work, evaluated. The other 23 (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.
58% of Atlas Score
aiproj is an AI developer tool that provides a model registry, provider adapters, policy enforcement, and a flow-based UI for constructing AI workflows. It includes a migration utility for legacy LLM graph nodes and supports model lifecycle management.
14% of Atlas Score
The repository implements a multi-stage Retrieval Augmented Generation (RAG) system for answering questions based on Acquired podcast transcripts, incorporating vector similarity search and a Neo4j graph store for enhanced retrieval.
11% of Atlas Score
This repository consists of Jupyter notebooks from a machine learning course (COSC_750) that walk through image classification and regression tasks using PyTorch, with an emphasis on educational explanations and step-by-step TODOs. Only one notebook shows executed cells, while the others depend on missing external files and data.
10% of Atlas Score
The repository contains two Jupyter notebooks that demonstrate audio processing with Librosa, dataset filtering using the PolyAI Minds-14 dataset, and inference and attention visualization of a pretrained Audio Spectrogram Transformer (AST) model.
6% of Atlas Score
This repository is a collection of Jupyter notebooks covering introductory topics in object-oriented programming, Python fundamentals, NumPy, PyTorch, and a simple N-gram language model. It serves as an educational tutorial for beginners in machine learning and data science.
1% of Atlas Score
MyReps is a full-stack web application that aggregates and displays information about U.S. federal and state legislators and legislation, providing a backend API for data ingestion and a React frontend for browsing representatives and bills.
