This repository consists for gpu bootcamp material for HPC and AI

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

Merlin Models is a collection of deep learning recommender system model reference implementations

A full pipeline AutoML tool for tabular data

This container is no longer supported, and has been deprecated in favor of: https://github.com/joehoeller/NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV

Colab notebooks exploring different Machine Learning topics.

Awesome list of alternative dataframe libraries in Python.

Comparison of Dataframe libraries for parallel processing of large tabular files on CPU and GPU.

Framework for computing Machine Learning algorithms in Python using Dask and RAPIDS AI.

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

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.