5,025,467 AI resources indexedWorking toward the world’s largest AI resource index.
Reusable instructions for compatible AI agents.
Field counts come from the latest full-catalog snapshot. A resource can belong to several fields and platforms.
GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT. Use whenever the user mentions GPU/CUDA/NVIDIA acceleration, or wants to speed up NumPy, pandas, scikit-learn, scikit-image, NetworkX, GeoPandas, or Faiss workloads. ...
GPU-accelerate Python code using CuPy, Numba CUDA, Warp, cuDF, cuML, cuGraph, KvikIO, cuCIM, cuxfilter, cuVS, cuSpatial, and RAFT. Use whenever the user mentions GPU/CUDA/NVIDIA acceleration, or wants to speed up NumPy, pandas, scikit-learn, scikit-image, NetworkX, GeoPandas, or Faiss workloads. ...
Agent skill for ML / AI Engineer, Data Scientist, Backend Developer, published by FridrichMethod. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, ML / AI Engineer, Backend Developer, published by K-Dense, Inc.. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, ML / AI Engineer, Backend Developer, published by K-Dense, Inc.. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, ML / AI Engineer, Backend Developer, published by KunanonJ. Project details and file access are provided by the publisher.
Agent skill for ML / AI Engineer, Data Scientist, Backend Developer, published by K-Dense, Inc.. Project details and file access are provided by the publisher.
Agent skill for Data Scientist, Data Analyst, ML / AI Engineer, published by oaustegard. Project details and file access are provided by the publisher.
Try a broader search or clear some filters.
Platform labels describe intended use. Read each resource's author credits, requirements and available access methods.