#计算机科学#BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.
翻译 - BlazingSQL是一个基于RAPIDS的轻量级GPU加速的SQL引擎。
A full pipeline AutoML tool for tabular data
#计算机科学#Merlin Models is a collection of deep learning recommender system model reference implementations
#Awesome#Awesome list of alternative dataframe libraries in Python.
This container is no longer supported, and has been deprecated in favor of: https://github.com/joehoeller/NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV
#自然语言处理#Colab notebooks exploring different Machine Learning topics.
A Kedro plugin that provides pandas dropin replacements for the pandas datasets (e.g modin and cuDF)
Comparison of Dataframe libraries for parallel processing of large tabular files on CPU and GPU.
This repositorty will contain the code and slides for PyBay2020 talk: Scalable Hyper-parameter Optimization using RAPIDS and AWS
Multi-Objective Recommender System
Objective of the repository to play around with different tools (keepsake, MLflow etc) with basic projects.
#向量搜索引擎#Accelerated vector search using RAPIDS cuVS.
#计算机科学#combination of EvalML with Rapids for the WiDS 2021 competition
This project predicts the "Scariest Monster" using a dataset of 12 million entries and 106 features. Utilizing GPU-accelerated processing and the Random Forest Regressor using the Nvidia Rapids API. T...
