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Jupyter Notebook
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Notebooks for ODSC West 2020 demos
cuML - RAPIDS Machine Learning Library
RAPIDS Community Notebooks
cuDF - GPU DataFrame Library
Multi-node, multi-GPU (MNMG) ML mathematical primitives and some algorithms used by cuML
A hello world for Legate programs
Repositories
35cuDF - GPU DataFrame Library
Multi-node, multi-GPU (MNMG) ML mathematical primitives and some algorithms used by cuML
cuML - RAPIDS Machine Learning Library
Notebooks for ODSC West 2020 demos
A hello world for Legate programs
No description provided.
Awesome List of resources on leading people and being a manager. Geared toward tech, but potentially useful to anyone.
No description provided.
Common build environment used by gpuCI for building RAPIDS
Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training
An implementation of a deep learning recommendation model (DLRM)
No description provided.
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
A game theoretic approach to explain the output of any machine learning model.
A conda-smithy repository for shap.
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Rapids Analytics Framework Toolset to share building blocks between cuGraph and cuML
RAPIDS - combined conda package & integration tests for all of RAPIDS libraries
A benchmark to measure performance of popular Gradient boosting algorithms against popular ML datasets.
RAPIDS Community Notebooks
No description provided.
No description provided.
Fork of dask/dask-xgboost for RAPIDS + Dask-XGBoost integration
Scalable Machine Learning with Dask
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
RAPIDS Sample Notebooks
Dask cuML provides a set of multi-GPU machine learning algorithms from cuML that integrate into the Dask ecosystem.
Documenting how to use Dask-cuDF + Dask-XGBoost for training and prediction
Personal examples, test cases, etc. for cuML (public)
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.