Made With ML
GokuMohandas
Learn how to develop, deploy and iterate on production-grade ML applications.
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Results: 6
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.
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