trivialfis

xgboost

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

dxgb_bench

Foci-Emacs

My emacs configuration.

nih

conda.el

Emacs helper library (and minor mode) to work with conda environments

cudf

cuDF - GPU DataFrame Library

cuml

cuML - RAPIDS Machine Learning Library

cunumeric

An Aspiring Drop-In Replacement for NumPy at Scale

dask

Parallel computing with task scheduling

dask-cuda

Utilities for Dask and CUDA interactions

distributed

A distributed task scheduler for Dask

dmlc-core

A common bricks library for building scalable and portable distributed machine learning.

gbm-bench

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

gputreeshap

legate.core

The Foundation for All Legate Libraries

lsp-haskell

lsp-mode :heart: haskell

mdarray

mdspan

Reference implementation of mdspan targeting C++23

ninja

a small build system with a focus on speed

optuna

A hyperparameter optimization framework

raft

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

rapids-single-cell-examples

Examples of single-cell genomic analysis accelerated with RAPIDS

rmm

RAPIDS Memory Manager

shap

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

showcase

spark-rapids-jni

RAPIDS Accelerator JNI For Apache Spark

treelite

model compiler for decision tree ensembles

umap

Uniform Manifold Approximation and Projection

xgboost-survival-embeddings

Improving XGBoost survival analysis with embeddings and debiased estimators

xgboost_ray

Distributed XGBoost on Ray