Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
DeCLIP is an open‑source project focused on data‑efficient contrastive language‑image pretraining, providing tools to reproduce and develop CLIP‑like methods (e.g., CLIP, DeCLIP, SLIP, FILIP). It offers pre‑trained models, training code, and benchmark datasets for large‑scale CLIP‑style pretraining, plus zero‑shot transfer and linear evaluation scripts for downstream tasks. The project aims to democratize large‑scale CLIP and foster a fair, reproducible CLIP community by welcoming contributions and feedback.
Parse Score