xiahaoyun

xiahaoyun's Stars

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python27.5k2292673.1k

• mem0ai/mem0

  The Memory layer for your AI apps

  Language:Python23.3k1306922.1k

• RSSNext/Follow

  🧡 Follow your favorites in one inbox

  Language:TypeScript20k791.2k825

• GyulyVGC/sniffnet

  Comfortably monitor your Internet traffic 🕵️‍♂️

  Language:Rust18.7k83200565

• NanmiCoder/MediaCrawler

  小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫、百度贴吧帖子 ｜ 百度贴吧评论回复爬虫 | 知乎问答文章｜评论爬虫

  Language:Python18.4k1093605.7k

• johannesjo/super-productivity

  Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking capabilities. It also comes with integrations for Jira, Gitlab, GitHub and Open Project.

  Language:TypeScript12.2k1302k952

• tweepy/tweepy

  Twitter for Python!

  Language:Python10.6k2701.3k4.6k

• miss-mumu/developer2gwy

  公务员从入门到上岸，最佳程序员公考实践教程

  8.9k8175763

• arogozhnikov/einops

  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

  Language:Python8.6k69183353

• FlagOpen/FlagEmbedding

  Retrieval and Retrieval-augmented LLMs

  Language:Python7.9k481.1k580

• conda-forge/miniforge

  A conda-forge distribution.

  Language:Shell6.7k56391338

• SpiderClub/weibospider

  :zap: A distributed crawler for weibo, building with celery and requests.

  Language:Python4.8k2901581.2k

• kurtmckee/feedparser

  Parse feeds in Python

  Language:Python2k46261344

• psychopy/psychopy

  For running psychology and neuroscience experiments

  Language:Python1.7k651.7k914

• McGill-NLP/llm2vec

  Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'

  Language:Python1.4k23126100

• wordware-ai/twitter

  AI Agent for Twitter Personality Analysis

  Language:TypeScript1.3k129222

• hardhackerlabs/book

  「硬地骇客 - 两个月 $12000 ARR 实践之路」是由 硬地骇客 团队编著，本书是关于 Podwise 产品历程的忠实记录：内容包含 灵感 - 构建 - 发布 - 增长 - 复盘 五个章节。如果你觉得一个人读不够过瘾，欢迎加入「硬地骇客」官方知识星球与专家们一起讨论！Podwise 的故事才刚刚开始，我们也将在星球持续分享我们的认知，成功可能无法复制，但失败一定可以借鉴。现在就点击下方链接加入吧！

  Language:MDX1.2k14444

• ReaJason/xhs

  基于小红书 Web 端进行的请求封装。https://reajason.github.io/xhs/

  Language:Python1.2k15129328

• Muennighoff/sgpt

  SGPT: GPT Sentence Embeddings for Semantic Search

  Language:Jupyter Notebook85584254

• facebookresearch/generative-recommenders

  Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

  Language:Python7942454149

• pytorch/kineto

  A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.

  Language:HTML74725218170

• ulab-uiuc/AGI-survey

  32610621

• ppwwyyxx/RAM-multiprocess-dataloader

  Demystify RAM Usage in Multi-Process Data Loaders

  Language:Python1848910

• xiao99xiao/SCIMKiller

  A painkiller for SCIM issue

  Language:Swift177224

• weeeBox/awesome-psychology

  An awesome list of psychology courses, videos and books. Please, contribute!

  1215015

• trapoom555/Language-Model-STS-CFT

  Improving Text Embedding of Language Models Using Contrastive Fine-tuning

  Language:Python59467

• zhichaoxu-shufe/RankMamba

  Language:Python15154

• NEU-DataMining/awesome-affective-computing

  A comprehensive overview of affective computing research in the era of large language models (LLMs).

  14012

• lengendhao/awesome-LLM-Mind

  100

• Vast-Fields/HappinessPlains

  Vast Fields" uses zero-shot learning to analyze happiness data from Douban Groups. We classify happiness into Hedonic and Eudaimonic types using a dataset of positive daily events. Models like SVM, Random Forest, GBDT, and XG-Boost are employed for further analysis, showcasing zero-shot learning in social science research.

  Language:Jupyter Notebook1