A collection of research paper implementations in PyTorch, focused on understanding and reproducing the core ideas from the original papers.
| Paper | Implementation |
|---|---|
| YOLOv1 — You Only Look Once | YOLOv1 |
- Implement research papers from scratch using PyTorch
- Understand the architectures and algorithms behind them
- Reproduce the key ideas described in the original papers
- Experiment with training and evaluation
Paper: You Only Look Once: Unified, Real-Time Object Detection
YOLOv1 is an object detection model that formulates object detection as a single regression problem, directly predicting bounding boxes and class probabilities from an image.
See the YOLOv1 directory for the implementation.