Cuda learning notebook
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Updated
Jul 1, 2024 - Cuda
NVIDIA Corporation is a company that manufactures graphics processors, mobile technologies, and desktop computers. It is known for developing integrated circuits, which are used in everything from electronic game consoles to personal computers (PCs). The company is a leading manufacturer of high-end graphics processing units (GPUs).
Cuda learning notebook
computer vision notebooks and useful boilerplate scripts
Launch softwares and games with Nvidea in the Slackware in Notebooks with Nvidia + Intel (hybrid video card).
This project involves analyzing the relationship between Nvidia and AI technologies. The notebook covers data pre-processing steps, including importing necessary libraries and loading data. Further analysis and insights into Nvidia's impact on AI and related trends are provided.
This Jupyter Notebook analyzes NVIDIA (NVDA) stock data to compute risk metrics like Value at Risk (VaR), Expected Shortfall (ES), Sharpe Ratio, Sortino Ratio, Maximum Drawdown, and Beta. It includes visualizations of daily returns and metrics to assess the stock’s risk and performance.
This repository contains notebooks showing how to perform mixed precision training in tf.keras 2.0
Jupyter Notebook with Tensorflow, Pytorch and Keras with GPU support
Nvidia DLI Getting Started with AI on Jetson Nano course notebooks
🚜 🚙Programming with Cuda on IPython Notebook
The repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and work with the Notebooks and other files.
Setting up a Jupyterhub Dockercontainer to spawn Jupyter Notebooks with GPU support (containing Tensorflow, Pytorch and Keras)
Created by Jensen Huang, Curtis Priem, Chris Malachowsky
Released April 5, 1993