AI-Atlas score
| Machine Learning | 62 |
|---|---|
| Computer Vision | 67 |
| Data Science | 23 |
| NLP & LLMs | 0 |
| AI Agents | 0 |
| MLOps | 20 |
Each node is one domain, scored only from evidence in these public repositories. Select one to see why.
Deep, repeated, well-engineered work in this domain.
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.
39% of Atlas Score
The repository implements a Patch Convolutional Vision Transformer (PatchCvT) model with a memory bank for contextual information, including training, evaluation, and C++ inference code.
20% of Atlas Score
VISTA implements video object detection architectures (DETR, YOLO, SSD) augmented with optical flow encoding, motion GRU, and staticness prediction modules. It provides training and evaluation code for these modified models.
15% of Atlas Score
The repository presents an end-to-end system for agricultural machinery guidance, comprising a deep learning model for semantic segmentation and waypoint prediction, training and evaluation scripts, a C++ inference engine for deployment, and a hardware design for a steering mechanism.
7% of Atlas Score
This repository provides an end-to-end face mask detection system using transfer learning with MobileNetV2. It includes data loading, model training, evaluation, and a real-time inference script that integrates OpenCV-based face detection.
5% of Atlas Score
The repository implements a neural cryptographic visual encoding system that trains an encoder to embed a message+key into an image, passes it through a simulated noisy channel, and decodes the message using a decoder network.
5% of Atlas Score
This repository implements a relational dynamics toy model to explore whether quantum state, information, and causal structure can reproduce spacetime-like relational structure without an external time parameter. It includes modules for causal topology, quantum causality, Lorentzian geometry, and geometry reconstruction, along with extensive tests and documentation.
