Python

May 05, 2023

NVIDIA On-Demand: Top Data Science Sessions from GTC 2023

Learn from experts about how to optimize a data pipeline or use machine learning for anomaly detection with these 15 educational sessions.

1 MIN READ

Apr 26, 2023

A Comprehensive Guide to Interaction Terms in Linear Regression

Linear regression is a powerful statistical tool used to model the relationship between a dependent variable and one or more independent variables (features)....

13 MIN READ

Apr 25, 2023

Increasing Inference Acceleration of KoGPT with NVIDIA FasterTransformer

Transformers are one of the most influential AI model architectures today and are shaping the direction of future AI R&D. First invented as a tool for...

6 MIN READ

Apr 20, 2023

Debugging a Mixed Python and C Language Stack

Debugging is difficult. Debugging across multiple languages is especially challenging, and debugging across devices often requires a team with varying skill...

18 MIN READ

Apr 04, 2023

Topic Modeling and Image Classification with Dataiku and NVIDIA Data Science

The Dataiku platform for everyday AI simplifies deep learning. Use cases are far-reaching, from image classification to object detection and natural language...

11 MIN READ

Mar 28, 2023

Accelerating Data Center and HPC Performance Analysis with NVIDIA Nsight Systems

As the GPU launches threads, dispatches kernels, and loads from memory, the CPU feeds it data asynchronously, accesses network communications, manages system...

7 MIN READ

Mar 23, 2023

Power Your AI Inference with New NVIDIA Triton and NVIDIA TensorRT Features

NVIDIA AI inference software consists of NVIDIA Triton Inference Server, open-source inference serving software, and NVIDIA TensorRT, an SDK for...

5 MIN READ

Mar 14, 2023

Accelerated Data Analytics: Speed Up Data Exploration with RAPIDS cuDF

This post is part of a series on accelerated data analytics: Accelerated Data Analytics: Faster Time Series Analysis with RAPIDS cuDF walks you through the...

11 MIN READ

Mar 14, 2023

Accelerated Data Analytics: Faster Time Series Analysis with RAPIDS cuDF

This post is part of a series on accelerated data analytics: Accelerated Data Analytics: Speed Up Data Exploration with RAPIDS cuDF discusses how the pandas...

9 MIN READ

Feb 21, 2023

How to Manage Virtual Environments and Automate Testing with Tox

Many developers use tox as a solution to standardize and automate testing in Python. However, using the tool only for test automation severely limits its power...

10 MIN READ

Jan 31, 2023

Accelerating Python Applications with cuNumeric and Legate

cuNumeric is a library that aims to provide a distributed and accelerated drop-in replacement for the NumPy API that supports all NumPy features, such as...

14 MIN READ

Jan 09, 2023

Rapidly Build AI-Streaming Apps with Python and C++

The computational needs for AI processing of sensor streams at the edge are increasingly demanding. Edge devices must keep up with high rates of incoming data...

5 MIN READ

Dec 12, 2022

CUDA Context-Independent Module Loading

Most CUDA developers are familiar with the cuModuleLoad API and its counterparts for loading a module containing device code into a CUDA context. In...

5 MIN READ

Oct 05, 2022

Explain Your Machine Learning Model Predictions with GPU-Accelerated SHAP

Machine learning (ML) is increasingly used across industries. Fraud detection, demand sensing, and credit underwriting are a few examples of specific use...

15 MIN READ

Jul 14, 2022

Build Tools for the 3D World with the Extend the Omniverse Contest

Developers across industries are building 3D tools and applications to help teams create virtual worlds in art, design, manufacturing, and more. NVIDIA...

4 MIN READ

Jun 01, 2022

Writing Ray Tracing Applications in Python Using the Numba Extension for PyOptiX

Ray tracing is a rendering algorithm that can generate photorealistic images by simulating how light transmits and interacts with different materials. Today, it...

13 MIN READ