James Lamb (jameslamb)

jameslamb

Geek Repo

Company:NVIDIA

Location:Chicago, IL

Twitter:@_jameslamb

Github PK Tool:Github PK Tool


Organizations
conda-forge
dask
NVIDIA
rapidsai

James Lamb's repositories

pydistcheck

Linter that finds portability issues in Python package distributions (wheels, sdists, conda packages).

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talks

Conference talks, meetup talks, and misc. writing

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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.

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cuml

cuML - RAPIDS Machine Learning Library

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dot-files

misc configs and gnarly bash scripts

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python-graphviz-feedstock

A conda-smithy repository for python-graphviz.

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treelite

Universal model exchange and serialization format for decision tree forests

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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, Dask, Flink and DataFlow

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conda-build

Commands and tools for building conda packages

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container-canary

A tool for testing and validating container requirements against versioned manifests

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cudf

cuDF - GPU DataFrame Library

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cugraph

cuGraph - RAPIDS Graph Analytics Library

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cuspatial

CUDA-accelerated GIS and spatiotemporal algorithms

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dask

Parallel computing with task scheduling

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dask-cuda

Utilities for Dask and CUDA interactions

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delocate

Find and copy needed dynamic libraries into python wheels

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deployment

RAPIDS Deployment Documentation

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gha-tools

User tools for RAPIDS GitHub Actions

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kvikio

KvikIO - High Performance File IO

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raft

RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

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rmm

RAPIDS Memory Manager

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tutorials

This repository contains tutorials and examples for Triton Inference Server

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ucx-py

Python bindings for UCX

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wholegraph

WholeGraph - large scale Graph Neutral Networks

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