This repositorty will contain the code and slides for PyBay2020 talk: Scalable Hyper-parameter Optimization using RAPIDS and AWS

Kaggle Tabular Feb 2022

Supercharge Your Pandas Code with RAPIDS cuDF & pandas accelerator mode | RAPIDS cuDF 23.10

Running KNN algorithm much faster on GPU for free using RAPIDS packages like cuML and cuDF

Example notebooks using BlazingSQL with the RAPIDS AI ecoystem.

Objective of the repository to play around with different tools (keepsake, MLflow etc) with basic projects.

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

Group 1 Advanced Python Final Project (Taxicab Analysis from Kaggle)

Accelerated vector search using RAPIDS cuVS.

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. The goal is to minimize RMSE for accurate predictions

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.