这些代码来自CDAC（设计中心）组织的一系列研讨会，称为“使用CUDA加速计算”...
These are codes from a series of workshops called "Accelerated Computing with CUDA" organized by CDAC ( Centre for Development of Advanced Computing, Govt of India) . The workshops were taken by Nvidia Deep Learning Institute ( <https://www.nvidia.com/en-in/training/online/> ) (2023-05-10, Jupyter Notebook, 8701KB, 下载0次)
项目理念——假新闻像野火一样蔓延，这是这个时代的一个大问题。我们可以学习如何区分...
Project idea – Fake news spreads like a wildfire and this is a big issue in this era. We can learn how to distinguish fake news from a real one. We can use supervised learning to implement a model like this. (2020-07-28, Jupyter Notebook, 11767KB, 下载0次)
美国有线电视新闻网对猫和狗进行分类的模型。
A CNN model that classifies Cats and Dogs. (2021-04-22, Jupyter Notebook, 93KB, 下载0次)
与伯克利SETI研究中心（BSRC）和突破列表相关的代码库、演示和研究工作...
Codebase, demos, and research work associated with the Berkeley SETI Research Center (BSRC) and the Breakthrough Listen Intern program (2023-04-23, Jupyter Notebook, 36216KB, 下载0次)
基于情感NLP（神经语言编程）引擎的推特推文和谷歌新闻标题使用机器语言...
Sentiment NLP (neuro-linguistic programming) based engine on twitter tweets and google news headlines using machine learning on Jupyter Notebook with Keras and Tensorflow GPU with CUDA backend. (2017-11-05, Jupyter Notebook, 1186KB, 下载0次)
emnist pytorch LeNet有线电视新闻网gpu
emnist pytorch LeNet CNN gpu (2018-02-14, Jupyter Notebook, 6KB, 下载0次)
一个带有GPU加速的中心内核对齐（CKA）的PyTorch实现。
A PyTorch implementation of Centered Kernel Alignment (CKA) with GPU acceleration. (2022-07-18, Jupyter Notebook, 36KB, 下载0次)