This repositorty will contain the code and slides for PyBay2020 talk: Scalable Hyper-parameter Optimization using RAPIDS and AWS
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Updated
May 28, 2021 - Jupyter Notebook
This repositorty will contain the code and slides for PyBay2020 talk: Scalable Hyper-parameter Optimization using RAPIDS and AWS
Running KNN algorithm much faster on GPU for free using RAPIDS packages like cuML and cuDF
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.
Multi-Objective Recommender System
Objective of the repository to play around with different tools (keepsake, MLflow etc) with basic projects.
Accelerated vector search using RAPIDS cuVS.
A Kedro plugin that provides pandas dropin replacements for the pandas datasets (e.g modin and cuDF)
combination of EvalML with Rapids for the WiDS 2021 competition
Framework for computing Machine Learning algorithms in Python using Dask and RAPIDS AI.
Awesome list of alternative dataframe libraries in Python.
Comparison of Dataframe libraries for parallel processing of large tabular files on CPU and GPU.
Colab notebooks exploring different Machine Learning topics.
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