H2O.ai's repositories
mli-resources
H2O.ai Machine Learning Interpretability Resources
driverlessai-tutorials
H2OAI Driverless AI Code Samples and Tutorials
h2o-kubernetes
H2O Open Source Kubernetes operator and a command-line tool to ease deployment (and undeployment) of H2O open-source machine learning platform H2O-3 to Kubernetes.
challenge-wildfires
Starter kit for H2O.ai competition Challenge Wildfires.
dai-deployment-examples
Examples for deploying Driverless AI (DAI) scorers.
LightGBM
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
scikit-learn
scikit-learn: machine learning in Python
H2O-LightGBM-CUDA
CUDA Implementation for the H2O version of the LightGBM package
incubator-metron
Mirror of Apache Metron (Incubating)
wave-r-data-table
This wave application is a R data.table tutorial and interactive learning environment developed using the wave library for R.
dask-pytorch
dask-pytorch is a Python package that makes it easy to train PyTorch models on dask clusters using distributed data parallel.
sudospawner
Spawn JupyterHub single-user servers with sudo
artifacts-repo
A simple artifacts exchange.
cudf
cuDF - GPU DataFrame Library
cupy
NumPy-like API accelerated with CUDA
dask-optuna
Scale Optuna with Dask
ffmpeg-feedstock
A conda-smithy repository for ffmpeg.
javassist
Java bytecode engineering toolkit
rmm
RAPIDS Memory Manager
tensorflow-1
An Open Source Machine Learning Framework for Everyone