• Stars
    star
    92
  • Rank 362,966 (Top 8 %)
  • Language
    Jupyter Notebook
  • Created over 4 years ago
  • Updated over 1 year ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

cudf

cuDF - GPU DataFrame Library
C++
8,319
star
2

cuml

cuML - RAPIDS Machine Learning Library
C++
3,864
star
3

cugraph

cuGraph - RAPIDS Graph Analytics Library
Cuda
1,668
star
4

cusignal

cuSignal - RAPIDS Signal Processing Library
Python
703
star
5

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.
Cuda
586
star
6

jupyterlab-nvdashboard

A JupyterLab extension for displaying dashboards of GPU usage.
TypeScript
582
star
7

notebooks

RAPIDS Sample Notebooks
Shell
577
star
8

cuspatial

CUDA-accelerated GIS and spatiotemporal algorithms
Jupyter Notebook
543
star
9

rmm

RAPIDS Memory Manager
C++
420
star
10

deeplearning

Jupyter Notebook
336
star
11

cucim

cuCIM - RAPIDS GPU-accelerated image processing library
Jupyter Notebook
333
star
12

dask-cuda

Utilities for Dask and CUDA interactions
Python
266
star
13

cuxfilter

GPU accelerated cross filtering with cuDF.
Python
261
star
14

node

GPU-accelerated data science and visualization in node
TypeScript
170
star
15

clx

A collection of RAPIDS examples for security analysts, data scientists, and engineers to quickly get started applying RAPIDS and GPU acceleration to real-world cybersecurity use cases.
Jupyter Notebook
167
star
16

libgdf

[ARCHIVED] C GPU DataFrame Library
Cuda
138
star
17

dask-cudf

[ARCHIVED] Dask support for distributed GDF object --> Moved to cudf
Python
135
star
18

cloud-ml-examples

A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
Jupyter Notebook
134
star
19

ucx-py

Python bindings for UCX
Python
118
star
20

gpu-bdb

RAPIDS GPU-BDB
Python
103
star
21

kvikio

KvikIO - High Performance File IO
Python
100
star
22

gputreeshap

C++
83
star
23

frigate

Frigate is a tool for automatically generating documentation for your Helm charts
Python
76
star
24

wholegraph

WholeGraph - large scale Graph Neural Networks
Cuda
75
star
25

spark-examples

[ARCHIVED] Moved to github.com/NVIDIA/spark-xgboost-examples
Jupyter Notebook
70
star
26

docker

Dockerfile templates for creating RAPIDS Docker Images
Shell
69
star
27

cuvs

cuVS - a library for vector search and clustering on the GPU
Jupyter Notebook
57
star
28

custrings

[ARCHIVED] GPU String Manipulation --> Moved to cudf
Cuda
46
star
29

docs

RAPIDS Documentation Site
HTML
34
star
30

cudf-alpha

[ARCHIVED] cuDF [alpha] - RAPIDS Merge of GoAi into cuDF
34
star
31

rapids-examples

Jupyter Notebook
31
star
32

nvgraph

C++
26
star
33

rapids-cmake

CMake
24
star
34

cuhornet

Cuda
24
star
35

cuDataShader

Jupyter Notebook
22
star
36

gpuci-build-environment

Common build environment used by gpuCI for building RAPIDS
Dockerfile
19
star
37

distributed-join

C++
19
star
38

devcontainers

Shell
18
star
39

dask-cuml

[ARCHIVED] Dask support for multi-GPU machine learning algorithms --> Moved to cuml
Python
16
star
40

integration

RAPIDS - combined conda package & integration tests for all of RAPIDS libraries
Shell
15
star
41

xgboost-conda

Conda recipes for xgboost
Jupyter Notebook
12
star
42

benchmark

Python
11
star
43

ucxx

C++
11
star
44

dependency-file-generator

Python
10
star
45

asvdb

Python
9
star
46

helm-chart

Shell
9
star
47

deployment

RAPIDS Deployment Documentation
Jupyter Notebook
9
star
48

miniforge-cuda

Dockerfile
9
star
49

ci-imgs

Dockerfile
7
star
50

dask-cugraph

Python
7
star
51

rapids.ai

rapids.ai web site
HTML
7
star
52

ptxcompiler

Python
6
star
53

GaaS

Python
5
star
54

rvc

Go
4
star
55

scikit-learn-nv

Python
4
star
56

ops-bot

A Probot application used by the Ops team for automation.
TypeScript
4
star
57

workflows

Shell
4
star
58

rapids-triton

C++
4
star
59

dask-build-environment

Build environments for various dask related projects on gpuCI
Dockerfile
3
star
60

roc

GitHub utilities for the RAPIDS Ops team
Go
3
star
61

multi-gpu-tools

Shell
3
star
62

detect-weak-linking

Python
3
star
63

dask-cuda-benchmarks

Python
2
star
64

shared-workflows

Reusable GitHub Actions workflows for RAPIDS CI
Shell
2
star
65

rapids_triton_pca_example

C++
2
star
66

cugunrock

Cuda
2
star
67

dgl-cugraph-build-environment

Dockerfile
2
star
68

projects

Jupyter Notebook
2
star
69

crossfit

Metric calculation library
Python
2
star
70

gpuci-mgmt

Mangement scripts for gpuCI
Shell
1
star
71

ansible-roles

1
star
72

code-share

C++
1
star
73

build-metrics-reporter

Python
1
star
74

cibuildwheel-imgs

Dockerfile
1
star
75

gpuci-tools

User tools for use within the gpuCI environment
Shell
1
star
76

pynvjitlink

Python
1
star
77

rapids-dask-dependency

Shell
1
star
78

sphinx-theme

This repository contains a Sphinx theme used for RAPIDS documentation
CSS
1
star