GPU analytics on any SQL result.
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Updated
Nov 11, 2026 - Rust
GPU analytics on any SQL result.
Rapidsai_Machine_learnring_on_GPU
The Incredible RAPIDS: a curated list of tutorials, papers, projects, communities and more relating to RAPIDS.
26th place solution from 3290 teams held on HackerEarth
Make AI coding agents write RAPIDS-first GPU Python.
GPU-based ML to classify Higgs boson signal from background in particle physics using RAPIDS framework
GPU-accelerated ML pipeline predicting Dota 2 Radiant wins from match data: hero picks, chat TF-IDF and gold/exp timeline features (RAPIDS cuML, out-of-time CV, Optuna)
This is a Phishing Classifier project in which model identify the phishing data using various machine learning techniques and help to prevent from malicious virus and cyber attack.
combination of EvalML with Rapids for the WiDS 2021 competition
A compilation of various ML and DL models and ways to optimize the their inferences.
This project integrates NVIDIA's cuML library with scikit-learn to accelerate classical machine learning algorithms using GPU. It enables faster training and inference by leveraging RAPIDS for scalable, high-performance ML workflows.
GPU-accelerated data analysis with NVIDIA RAPIDS (cuDF, cuML) on 3M NYC taxi trips: 21.5x faster than pandas/scikit-learn on a Tesla T4.
Running KNN algorithm much faster on GPU for free using RAPIDS packages like cuML and cuDF
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
Códigos PYTHON. Pandas, Scikit-Learning, Rapids, Cuml, Cudf.
High-performance GPU-accelerated astronomical photometry and astrometry pipeline for massive survey images.
Performance benchmarking of CPU vs GPU implementations of K-Means clustering using scikit-learn, RAPIDS cuML, and Welch's t-Test across 12 datasets.
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