The Incredible RAPIDS: a curated list of tutorials, papers, projects, communities and more relating to RAPIDS.
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Updated
Oct 2, 2019
The Incredible RAPIDS: a curated list of tutorials, papers, projects, communities and more relating to RAPIDS.
Rapid large-scale fractional differencing with NVIDIA RAPIDS and GPU to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.
Rapidsai_Machine_learnring_on_GPU
BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
Awesome list of alternative dataframe libraries in Python.
🚕 A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)
Python from an HPC viewpoint, the most practical tools, and various indispensable libraries for HPC use cases.
GPU-based ML to classify Higgs boson signal from background in particle physics using RAPIDS framework
A compilation of various ML and DL models and ways to optimize the their inferences.
Códigos PYTHON. Pandas, Scikit-Learning, Rapids, Cuml, Cudf.
머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
GPU accelerated cross filtering with cuDF.
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