LLM发生的信息级联分析及其在社交媒体机器人聚集中的应用
Analyzing information cascades occurring with LLM s and its application to social media bot congregation (2024-07-18, Jupyter Notebook, 0KB, 下载0次)
它使用LSTM生成文本。它预测用户输入中给定的单词，然后使用该单词发生的可能性来预测接下来的每个单词
It uses LSTM for text generation. It predicts a word given in the user input and then each of the next words is predicted using the probability of likelihood of that word to occur (2024-03-02, Jupyter Notebook, 0KB, 下载0次)
LLM蒸汽复查发生器
LLM steam review generator (2024-02-22, Jupyter Notebook, 0KB, 下载0次)
NPC对话发生器
NPC dialogue generator (2024-02-13, Jupyter Notebook, 0KB, 下载0次)
基于给定文本的视频发生器
A Video Generator based on the given Text (2024-02-12, Jupyter Notebook, 0KB, 下载0次)
获取任意媒体文件并将扬声器记录为波形
Take arbitrary media files and diarize speakers to waveform (2023-12-02, Jupyter Notebook, 0KB, 下载0次)
用户将提供图像，模型将给出图像中发生的情况的标题文本。，
User will Provide Image and Model will give Caption Text of what is happening in Image., (2023-10-12, Jupyter Notebook, 0KB, 下载0次)
当星球大战机器人与莎士比亚机器人对话时会发生什么，
What happens when a Star Wars bot talks with a Shakespeare bot , (2023-09-21, Jupyter Notebook, 0KB, 下载0次)
这是一本LLM无政府主义者的食谱。这里发生了许多不协调的事情。，
This is an LLM anarchist s cookbook. A lot of unaligned things happen here., (2023-08-19, Jupyter Notebook, 0KB, 下载0次)
基于
Low Rank Adaptation for Waveforms based on
基于transformer模型自注意机制的鲁棒波形特征自适应心跳分类，
Robust Wave-Feature Adaptive Heartbeat Classification Based on Self-Attention Mechanism Using a Transformer Model, (2021-11-11, Jupyter Notebook, 0KB, 下载0次)
这款人工智能机器人旨在回答您关于正在发生的冠状病毒大流行的所有问题。
This AI powered bot is designed and to answer all your questions about the ongoing Coronavirus Pandemic. (2020-03-29, Jupyter Notebook, 13KB, 下载0次)
纯Python语言中的引力波波形模型
Gravitational waves waveform models in pure Python language (2023-01-17, Jupyter Notebook, 48626KB, 下载0次)
电子邮件垃圾邮件检测器DecTreeClass，使用决策树分类模型，根据特定事件的具体发生情况来识别垃圾邮件...
Using a decision tree classification model to identify spam emails based on the specific occurrence of certain features and patterns within the email text. The dataset contains over 54 feature variables from over 4000 emails and can be used to make a custom email spam detector. (2020-09-29, Jupyter Notebook, 128KB, 下载0次)
国情咨文，如果我们使用自然语言处理来分析美国历史上的每一次总统国情咨文演讲会发生什么...
What happens if we use natural language processing to analyze every presidential State of the Union speech in US history? (2019-09-14, Jupyter Notebook, 9246KB, 下载0次)
Disaster_Tweets_Analysis，基于自然语言处理的项目，用于识别给定的推文是否表明发生了灾难。
Disaster_Tweets_Analysis,Project based on Natural Language Processing to identify if the given tweet indicates a disaster. (2021-10-14, Jupyter Notebook, 261KB, 下载0次)
机器翻译_使用编码器_编码器，，
MachineTranslation_using_Encoder_Decoder,, (2020-06-28, Jupyter Notebook, 63KB, 下载0次)
transformer自动编码器，使用PyTorch的transformer模型上的自动编码器版本
transformer-autoencoder,Autoencoder version on Transformer model using PyTorch (2019-05-18, Jupyter Notebook, 292KB, 下载0次)
sede，Text to SQL in the Wild:一个基于堆栈交换数据的自然发生数据集
sede,Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data (2021-06-25, Jupyter Notebook, 1756KB, 下载0次)
推特情绪分析，一个使用流媒体构建的网络应用程序，通过分析来显示人们对世界上发生的任何事件的情绪...
A webapp built using streamlit to display the sentiments of people regarding any events happening in the world by analyzing tweets related to that event. (2022-04-02, Jupyter Notebook, 340KB, 下载0次)