alert-Null

alert-Null's Stars

• thuiar/MMSA-FET

  A Tool for extracting multimodal features from videos.

  Language:Python13920

• nnn149/MeetingWeb

  webrtc vue项目，在线会议，多人视频

  Language:Vue13344

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown126k23.2k

• Dod-o/Statistical-Learning-Method_Code

  手写实现李航《统计学习方法》书中全部算法

  Language:Python11k2.9k

• thuiar/MMSA

  MMSA is a unified framework for Multimodal Sentiment Analysis.

  Language:Python681104

• thu-coai/PsyQA

  一个中文心理健康支持问答数据集，提供了丰富的援助策略标注。可用于生成富有援助策略的长咨询文本。

  17215

• EvelynFan/AWESOME-MER

  🔆 📝 A reading list focused on Multimodal Emotion Recognition (MER) 👂👄 👀 💬

  12021

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python55.7k5.7k

• declare-lab/MISA

  MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis

  Language:Python19730

• albertwy/SWRM

  Code for Findings of ACL 2022 Paper "Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors"

  Language:Python25

• pycaret/pycaret

  An open-source, low-code machine learning library in Python

  Language:Jupyter Notebook8.9k1.8k

• CVUsers/Smoke-Detect-by-YoloV5

  Yolov5 real time smoke detection system

  Language:Jupyter Notebook435119

• Vay-keen/Machine-learning-learning-notes

  周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

  7.3k1.9k

• hAcKlyc/zhihu_image_crawler

  知乎图片下载小助手（抓取指定问题下的所有回答中的图片）/a tiny spider for crawling image of zhihu.com(espcially by Question/Favorite organized)

  Language:Python1214

• yoghurtjia/Zhihu_bigdata

  使用scrapy和pandas完成对知乎300w用户的数据分析。首先使用scrapy爬取知乎网的300w，用户资料，最后使用pandas对数据进行过滤，找出想要的知乎大牛，并用图表的形式可视化。

  Language:HTML15593

• MogicianXD/ZhihuCrawler

  知乎2019-2020完美爬取方案（自动登录+自动识别验证码）+数据分析

  Language:Jupyter Notebook5418