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John Zedlewski's Projects

cudf icon cudf

cuDF - GPU DataFrame Library

cuml icon cuml

cuML - RAPIDS Machine Learning Library

dask-cuml icon dask-cuml

Dask cuML provides a set of multi-GPU machine learning algorithms from cuML that integrate into the Dask ecosystem.

dask-ml icon dask-ml

Scalable Machine Learning with Dask

dask-xgboost icon dask-xgboost

Fork of dask/dask-xgboost for RAPIDS + Dask-XGBoost integration

dask-xgboost-docs icon dask-xgboost-docs

Documenting how to use Dask-cuDF + Dask-XGBoost for training and prediction

dlrm icon dlrm

An implementation of a deep learning recommendation model (DLRM)

gbm-bench icon gbm-bench

A benchmark to measure performance of popular Gradient boosting algorithms against popular ML datasets.

integration icon integration

RAPIDS - combined conda package & integration tests for all of RAPIDS libraries

jupytext icon jupytext

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

luigi icon luigi

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.

madlib icon madlib

Open-source library for scalable in-database analytics.

openblas icon openblas

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

py-boost icon py-boost

Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training

raft icon raft

Rapids Analytics Framework Toolset to share building blocks between cuGraph and cuML

shap icon shap

A game theoretic approach to explain the output of any machine learning model.

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