With A.I. transforming just about every industry on our planet, engineers developing this technology are arguably the most ...

NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...

A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.

MT-DNN, an open-source natural language understanding (NLU) toolkit that makes it easy for researchers and developers to train customized deep learning models. Built upon PyTorch and Transformers, ...

Abstract: Adversarial examples represent a serious threat for deep neural networks in several application domains and a huge amount of work has been produced to investigate them and mitigate their ...

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.

We trained and evaluated the performance of multiple types of neural networks on five deep mutational scanning datasets. This repository contains code and examples that allow you to do the following: ...