人工智能创客空间的强化学习和奖励模型PPO培训项目：LLME2。
Reinforcement Learning from Human Feedback and Reward Model PPO training project for AI Makerspace: LLME2. (2024-03-31, Jupyter Notebook, 0KB, 下载0次)
网络刮擦&对Lex Fridman和Mark Zuckerbergs Metaverse播客一集YouTube评论的情绪分析
Web scrapping & Sentiment Analysis of YouTube comments from Lex Fridman & Mark Zuckerbergs Metaverse podcast episode (2024-01-26, Jupyter Notebook, 0KB, 下载0次)
极客时间-AI大模型应用开发实战训练营作业提交仓库
Geek time - AI big model application development actual combat training camp operation submission warehouse (2024-01-15, Jupyter Notebook, 0KB, 下载0次)
这是降价、笔记本和或其他类型文件的集合。里面使用的图像大多来自吴昌俊和他的课程。...
This is a collection of markdown, notebooks and/or other types of files. The images used inside are mostly from Andrew Ng and his courses. This is useful for topic vise study, and preparations. It might contain some images from the ML course offered at Innopolis University. A student from IU can use this to get good score in that course, it (2022-09-13, Jupyter Notebook, 0KB, 下载0次)
不完全数据下乘客机票价格预测的混合PSO-XGboost-KNN模型
A hybrid PSO-XGboost-KNN model to predict the price of the airline tickets for passengers on incomplete data (2023-11-04, Jupyter Notebook, 0KB, 下载0次)
LLM支持的应用程序，从用户喜欢的播客中学习并生成建议，
LLM Powered App which learns from the Liked Podcasts of a User and Generates Recommendations, (2023-08-26, Jupyter Notebook, 0KB, 下载0次)
使用Deepgram API和Huggingface分析任何播客视频音频剪辑的说话人情绪。，
Analyze any podcast video audio clips for speaker-wise sentiments using the Deepgram API and Huggingface., (2023-08-25, Jupyter Notebook, 0KB, 下载0次)
使用OpenAI模型从播客的插曲中总结和提取有趣的信息，
Summarize and extract interesting information from a podcast s episode using OpenAI models, (2023-08-16, Jupyter Notebook, 0KB, 下载0次)
使用Deepgram API和Huggingface分析任何播客视频音频剪辑的说话人情绪。，
Analyze any podcast video audio clips for speaker-wise sentiments using the Deepgram API and Huggingface., (2023-08-07, Jupyter Notebook, 0KB, 下载0次)
Google Colab笔记本，在Google Drive中制作简单且最小的播客，
Google Colab notebook to make a simple & minimal podcast in Google Drive, (2021-03-07, Jupyter Notebook, 0KB, 下载0次)
本repo用于编辑和分享“青衣极客”频道的笔记文件。最新文章:
This repo is used to edit and share the notes of the "Green Clothes Geek" channel. Latest articles: (2022-10-10, Jupyter Notebook, 0KB, 下载0次)
客主机系统，用于控制使用zmq在模块之间通信的记录刺激传递。典型用途是...
guest/host system for control of recording/stimulus delivery using zmq to communicate between modules. Typical use is stimulus control with a SBC and/or microcontroller and recording with open-ephys software. (2021-04-26, Jupyter Notebook, 0KB, 下载0次)
2017CCF大数据与计算智能大赛-蚂蚁金服-商铺定位赛题(全国第5名)
2017 CCF Big Data and Computing Intelligence Competition - Ant Financial Service - Store Positioning Competition (5th in China) (2018-07-25, Jupyter Notebook, 21KB, 下载0次)
集成商将您的信息集成到您的播客中。他们从外部服务（Gmail、WhatsApp等）导入数据...
Integrators integrate your information in your Pod. They import data from external services (Gmail, WhatsApp, etc.), enrich data with indexers (face recognition, spam detection, etc.), and execute actions (sending messages, uploading files, etc.). (mirror repository) (2021-05-08, Jupyter Notebook, 4779KB, 下载0次)
使用Selenium进行网络抓取，以获取美国苹果和Spotify顶级播客的信息。
Web scraping with Selenium to obtain information on the top podcasts in the United States for Apple and Spotify. (2021-02-18, Jupyter Notebook, 1414KB, 下载0次)
商业类播客客户潜在客户开发
Lead generation about podcast guests in Business category (2022-01-02, Jupyter Notebook, 2246KB, 下载0次)
生成在播客《欢迎来到夜谷》成绩单上训练的合成文本。
Generating synthetic text trained on the podcast Welcome to Night Vale transcripts. (2017-06-15, Jupyter Notebook, 35575KB, 下载0次)
通过使用最优化路线提高固体废物收集效率，使用遗传算法在昌迪加尔市找到固体废物收集的最优化路线。
Increasing-Efficiency-of-Solid-Waste-Collection-by-the-use-of-the-most-Optimal-Route,Finding the most optimal route for the collection of solid waste in the city of Chandigarh using Genetic algorithm. (2022-06-07, Jupyter Notebook, 95989KB, 下载0次)
金融椰子转录本，我使用OpenAI的微调版Whisper转录了金融椰子播客的视频，
I transcribed videos of The Financial Coconut podcast using fine-tuned version
of Whisper by OpenAI
, (2023-04-19, Jupyter Notebook, 645KB, 下载0次)
lex代理，一种对话代理，使用lex Fridman播客的文字记录回答用户问题，
A conversational agent that answers user questions using transcripts from the
Lex Fridman podcast.
, (2023-04-07, Jupyter Notebook, 9KB, 下载0次)