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Build, manage and deploy H2O's high-speed machine learning models.
Templates for projects based on top of H2O.
Domain name classifier looking for good vs. possibly malicious providers
H2O Cloud code.
Deep Learning in H2O using Native GPU Backends
Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.
Python module to interface with OpenML
Intel® Data Analytics Acceleration Library (Intel® DAAL)
scikit-learn: machine learning in Python
CUB is a flexible library of cooperative threadblock primitives and other utilities for CUDA kernel programming.
Example of putting a mojo zip file as a resource into a java servlet.
Log Analysis Use Case for PyData2016
A common bricks library for building scalable and portable distributed machine learning.
kmeans clustering with multi-GPU capabilities
Meetup Hackathon 06/21/2017
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.
Optimized primitives for collective multi-GPU communication (with Windows / Visual Studio capability)