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DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation.
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking (CTR/CVR prediction), Post Ranking, Relevance, LLM, Rei…
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
⚡ The Open Research Copilot. Build high-perf Portfolios, Lab Sites & Docs in Markdown + Jupyter. 100% Data Control. 🦫 数据科学家的开源 Copilot。一键部署 👇
This repository consist of many login page example, whch can be used for any web or hybrid app developement.
User Registration with Email Confirmation Link Verification
Django registration with confirmation email (OTP)
this project involves a custom user model in django that uses email field instead of the username field to signup or signin. Sends a verification email to registered email during signup and upon su…
Django实现注册登录 --- 传统HTTP Basic认证+Session会话+邮箱认证激活+图形验证码，博客地址：https://www.jianshu.com/p/9ebf213b27cc
Samsung Notes is now supported on any Windows device already!! This script will allow you to mimic your windows pc as a Galaxy Book laptop, this is usually used to bypass Samsung Notes
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
The official implementation of the IEEE S&P`22 paper "SoK: How Robust is Deep Neural Network Image Classification Watermarking".
Website & Documentation: https://sbaresearch.github.io/model-watermarking/
⛽️「算法通关手册」：从零开始的「算法与数据结构」学习教程，200 道「算法面试热门题目」，1000+ 道「LeetCode 题目解析」，持续更新中！
Code and pretrained models for paper: Data-Free Adversarial Distillation
Solutions to All of Statistics, a textbook authored by Larry Wasserman. I wrote the solutions as a self-studying method, thus I cannot guarantee their correctness.
Self-study on Larry Wasserman's "All of Statistics"
HanLP作者的新书《自然语言处理入门》详细笔记！业界良心之作，书中不是枯燥无味的公式罗列，而是用白话阐述的通俗易懂的算法模型。从基本概念出发，逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Unofficial Galaxy Buds Manager for Windows, macOS, Linux, and Android
上海交通大学 LaTeX 论文模板 | Shanghai Jiao Tong University LaTeX Thesis Template
Command line utility for forced alignment using Kaldi