Lulu2377

Lulu2377's Stars

• datawhalechina/llm-cookbook

  面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

  Language:Jupyter Notebook12.3k1.5k

• ThuCCSLab/Awesome-LM-SSP

  A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).

  1k68

• henntaidesu/douban_spider_analysis

  python豆瓣电影爬虫与数据分析

  Language:Jupyter Notebook2

• DateBro/TOP250_douban_movies

  TOP250豆瓣电影短评爬虫+数据分析

  Language:Jupyter Notebook183

• csuldw/AntSpider

  1000万豆瓣电影/评论/名人/评分数据采集源码分享（内含千万电影数据集，可下载）

  Language:Python44072

• iphysresearch/TOP250movie_douban

  TOP250豆瓣电影短评：Scrapy 爬虫+数据清理/分析+构建中文文本情感分析模型

  Language:Jupyter Notebook890195

• ClayLiu/DoubanTop250_box_office_dataset

  豆瓣Top250电影的票房数据

  Language:Python1

• Willmind/douban-movie-250

  学习网络爬虫-爬取豆瓣电影250榜单并写入csv数据

  Language:HTML11

• lyler77/myDATA

  整理爬取的数据：imdb电影数据、豆瓣电影数据、豆瓣影评数据等

  Language:TSQL3

• dta0502/douban-top250

  Python实现豆瓣电影TOP250抓取，然后对爬取的数据进行分析。

  Language:Jupyter Notebook3013

• zhouyanasd/or-pandas

  【运筹OR帷幄|数据科学】pandas教程系列电子书

  Language:Jupyter Notebook859252

• yeungsk/DoubanMovie-analysis

  豆瓣电影数据分析

  Language:HTML116

• jlshix/movielens-douban-dataset

  爬取豆瓣 48233 条数据, 与 movielens ml-latest 数据集取交集获取共同数据 15752 条

  Language:Python7

• lzx1019056432/douban_Movie_analysis

  豆瓣电影Top250数据分爬取以及数据分析 具体参考博客链接

  Language:HTML54

• inoutcode/ethereum_book

  精通以太坊 （中文版）

  Language:Vue3.7k927

• Consensys/smart-contract-best-practices

  A guide to smart contract security best practices

  Language:HTML7.5k1.5k

• yangjianxin1/Firefly

  Firefly: 大模型训练工具，支持训练Qwen2.5、Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

  Language:Python5.9k531

• liu673cn/bug

  TVbox开源版（空壳-自行配置）

  Language:HTML10.7k2k

• hwanz/SS-SSR-V2ray

  机场推荐与机场评测ssr/v2ray2023

  3.8k172

• dsgissin/DiscriminativeActiveLearning

  Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

  Language:Python20255

• scikit-activeml/scikit-activeml

  scikit-activeml: Python library for active learning on top of scikit-learn

  Language:Python15516

• SineZHAN/deepALplus

  This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbox).

  Language:Python17024

• ustctug/awesome-latex-thesis

  List of LaTeX template for theses

  544

• songhwanjun/Awesome-Noisy-Labels

  A Survey

  54631

• cpark321/uncertainty-deep-learning

  Language:Jupyter Notebook22655

• yaringal/DropoutUncertaintyExps

  Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

  Language:Python557122

• LiJunnan1992/DivideMix

  Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

  Language:Python54685

• YU1ut/MixMatch-pytorch

  Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

  Language:Python640129

• kekmodel/UDA-pytorch

  An unofficial PyTorch implementation of Unsupervised Data Augmentation

  Language:Python152

• kekmodel/MPL-pytorch

  Unofficial PyTorch implementation of "Meta Pseudo Labels"

  Language:Python38669