good first issue
Good for newcomers
#
rapidsai
Here are 15 public repositories matching this topic...
This repository consists for gpu bootcamp material for HPC and AI
data-science
machine-learning
deep-learning
hpc
gpu
openmp
mpi
cuda
deepstream
openacc
rapidsai
ai4hpc
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Jun 2, 2022 - Jupyter Notebook
This container is no longer supported, and has been deprecated in favor of: https://github.com/joehoeller/NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV
docker
opencv
tensorflow
cuda
pytorch
computervision
machinevision
tensorrt
cupy
pycuda
torchvision
rapidsai
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Aug 30, 2021 - Jupyter Notebook
Colab notebooks exploring different Machine Learning topics.
nlp
cassandra
julia
pytorch
named-entity-recognition
colab
vae
probabilistic-programming
causality
pymc3
causal-inference
audio-processing
julialang
pyro
trax
tensorflow-js
pyro-ppl
rapidsai
colab-notebooks
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Apr 2, 2022 - Jupyter Notebook
A Kedro plugin that provides pandas dropin replacements for the pandas datasets (e.g modin and cuDF)
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Feb 2, 2021 - Python
Awesome list of alternative dataframe libraries in Python.
python
awesome
sql
arrow
pandas
datatable
awesome-list
dask
apache-arrow
cudf
rapidsai
datafusion
blazingsql
polars
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Mar 3, 2022
This repositorty will contain the code and slides for PyBay2020 talk: Scalable Hyper-parameter Optimization using RAPIDS and AWS
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May 28, 2021 - Jupyter Notebook
Objective of the repository to play around with different tools (keepsake, MLflow etc) with basic projects.
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May 30, 2021 - Python
combination of EvalML with Rapids for the WiDS 2021 competition
machine-learning
kaggle-competition
sklearn-compatible
automl
sklearn-estimator
wids-datathon
rapids
rapidsai
cuml
evalml
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Apr 2, 2021 - Python
CORIA v3.1 CORIA (Connectivity Risk Analyzer) is a framework for analyzing network connectivity risks on graphs with millions of vertices and edges using GPU-accelerated software modules. Built for my master's thesis, November 2020.
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Nov 14, 2020 - Java
Running KNN algorithm much faster on GPU for free using RAPIDS packages like cuML and cuDF
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Apr 5, 2022 - Jupyter Notebook
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May 7, 2022 - Jupyter Notebook
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We no longer need to control the number of concurrent kernels, since now we control the number of concurrent tasks