

Great idea, thank you for your feedback! I generated embeddings for repositories using a SVC model trained on a dataset containing almost all stars of Github. Recommendations are produced by finding the nearest neighbors in the resulting vectorial space. I might be improving this even further by including forks and watcher data in the future, but it’s becoming expensive to train
Yes. She knows her family better than you, trust her