markgewhite/research_concept_tracker
Tracks the evolution of research concepts by analyzing arXiv papers using using a Kalman filter to track embedding vectors
Stars
—
Forks
—
Language
Python
License
—
Category
Last pushed
Jan 10, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/markgewhite/research_concept_tracker"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
erdogant/KNRscore
KNRScore is a Python package for computing K-Nearest-Rank Similarity, a metric that quantifies...
reppertj/earworm
Search for music by sonic similarity
prabal-rje/latentscore
Python library for generating ambient music from text descriptions. No GPU required. Turn text...
rohitrango/objects-that-sound
Unofficial Implementation of Google Deepmind's paper `Objects that Sound`
FabianGroeger96/deep-embedded-music
Creation of an embedding space using unsupervised triplet loss and Tile2Vec that can be used for...