Practice exercises and assessments for NVIDIA DLI's "Fundamentals of Accelerated Computing with CUDA Python" course.
-
Updated
Sep 8, 2023 - Jupyter Notebook
#
nvidia-dli
Here are 5 public repositories matching this topic...
GPU-accelerated road network graph analytics pipeline — SSSP, 5-metric centrality analysis, and nx-cugraph backend methods, inspired by NVIDIA DLI. / NVIDIA DLI 학습 기반 GPU 가속 도로망 그래프 분석 파이프라인 — SSSP · 중심성 5종 · nx-cugraph 백엔드 3방식 구현.
data-science networkx road-network graph-analytics centrality sssp rapids cugraph gpu-accelerated nvidia-dli
-
Updated
Apr 27, 2026 - Python
repo for applications
-
Updated
Aug 10, 2023 - Jupyter Notebook
Implementation of deep learning concepts based on NVIDIA DLI curriculum. Includes exercises on Neural Network training, Convolutional Neural Networks (CNNs), Pre-trained Models (VGG16/ResNet), and deployment using Python and PyTorch/TensorFlow
computer-vision deep-learning tensorflow cnn pytorch neural-networks image-classification transfer-learning data-augmentation nvidia-dli
-
Updated
Dec 15, 2025 - Jupyter Notebook
Resources and Learnings from NVIDIA Deep Learning Institute Training on "Rapid Applications Development with Large Language Model" by Vadim Kudlay
-
Updated
Jul 9, 2025 - Jupyter Notebook
Improve this page
Add a description, image, and links to the nvidia-dli topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the nvidia-dli topic, visit your repo's landing page and select "manage topics."