这种模式的主要目的通常是产生幽默和娱乐。它可以用于聊天机器人、虚拟助手或社交媒体平台，以诙谐和讽刺的回应吸引用户。
The primary purpose of this model is often to generate humor and entertainment. It can be used in chatbots, virtual assistants, or social media platforms to engage users with witty and sarcastic responses. (2024-03-22, Jupyter Notebook, 0KB, 下载0次)
基于航空和激光雷达图像的CGAN道路网生成
Road Network Generation using CGAN from Aerial and LiDAR Images (2023-11-14, Jupyter Notebook, 0KB, 下载0次)
使用深度学习方法和统计方法生成音乐||构建人工智能音乐网站。
Using Deep learning method and satistical methods to generate music||build the AI music web. (2023-11-09, Jupyter Notebook, 0KB, 下载0次)
生成宝莱坞音乐的深度学习RNN模型。该博客帖子中的方法和模型的修改版本：[https:hed...]（https:hedisistrh.github.io 2018-04-27-Music-Generation-with-LSTM），
A deep learning RNN model to generate bollywood music. Adapted/modified version of the methods and model from this blog post: https://hedonistrh.github.io/2018-04-27-Music-Generation-with-LSTM/ (2020-11-03, Jupyter Notebook, 0KB, 下载0次)
我试图在员工流失数据网络上找到的数据集上学习预测建模，
Me trying to learn predictive modeling on a dataset I found on the web of employee attrition data, (2023-09-17, Jupyter Notebook, 0KB, 下载0次)
本项目的主要目标是开发一个模型，该模型可以使用生成对抗网生成合成时间序列数据...，
The primary objective of this project is to develop a model that can generate synthetic time series data using Generative Adversarial Networks (GANs). (2023-08-21, Jupyter Notebook, 0KB, 下载0次)
使用nlp工具的简单实验。目标是在饲料网krovostock之后实现可理解的生成文本，因此...
Simple experiment with nlp tools. The goal was to achieve understandable generated text after feed nets krovostock songs only. (2021-04-06, Jupyter Notebook, 175KB, 下载0次)
通过将其作为生成对抗网（GAN）中的鉴别器来训练三重网络-一种改进的方法...
Train a triplet network by putting it as the discriminator in Generative Adversarial Nets (GAN)s - an improved way of training GANs (2020-07-14, Jupyter Notebook, 187KB, 下载0次)
量子生成性对抗网络（QGAN）和经典生成性对抗网（CGAN）用于训练一维和二维网络...
Quantum generative adversarial network (QGAN) and classical generative adversarial network (CGAN) to train 1d and 2d probability distribution (2022-06-14, Jupyter Notebook, 11832KB, 下载0次)
提出了一种时空缺失数据网络卷积生成对抗插补网络的实现方法...
An implementation to Convolutional generative adversarial imputation networks for spatio-temporal missing data Nets Paper (Conv-GAIN) (2022-06-10, Jupyter Notebook, 301KB, 下载0次)
ICLR 2022论文代码。卓越图像网：如何在深度学习中发现虚假特征
Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning (2022-08-19, Jupyter Notebook, 10819KB, 下载0次)
经过功能工程，我们能够从音频中生成婴儿哭泣和其他声音的图像。这里是美国有线电视新闻网...
After feature engineering we were able to generate images of cry and other voices of babies from audio. This is CNN model which classifies the baby cry and silence voice. (2019-12-21, Jupyter Notebook, 47KB, 下载0次)
创建了ML算法，使用暗网（神经网络框架）和...
Created ML algorithm that detects whether a person is wearing mask or not using darknet (neural network framework) & yolov3. The dataset was created by taking images from the internet and using labellimg to convert the boxes into text files. Trained the model & got the "last.weights" file using google colab, and ran the code on pycharm The (2021-04-12, Jupyter Notebook, 4KB, 下载0次)