Made With ML
GokuMohandas
Learn how to develop, deploy and iterate on production-grade ML applications.
OPENAGENTSKILL / DIRECTORY
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
1–7 / 7
Results: 7
GokuMohandas
Learn how to develop, deploy and iterate on production-grade ML applications.
davisking
A toolkit for making real world machine learning and data analysis applications in C++
NVIDIA
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference appl…
jeffheaton
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Lightning-AI
Machine learning metrics for distributed, scalable PyTorch applications.
weld-project
High-performance runtime for data analytics applications
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
No external entries match this query.