loneranger1024's recent timeline updates

loneranger1024's repos on GitHub

Shell · 64 watchers

claude-gpt-workflow

Claude Code skills for Claude + GPT collaborative workflows. Adversarial plan review + orchestrated code execution with iterative refinement.

Python · 10 watchers

Quick-Calculation-Correction

For the application of AI+education industry, we use the classical target detection and text recognition in OCR (Optical Character Recognition) to achieve the automatic correction task, based on the prototype of elementary school speed calculation homework correction.

2 watchers

project-doc-bootstrap

A skill for bootstrapping reusable repository documentation that helps AI agents quickly understand and safely navigate any codebase.

1 watchers

awesome-programming-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

1 watchers

CS-Books

🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~

C++ · 1 watchers

Data-structure

数据结构的代码实现（C++）

Python · 1 watchers

DeforumFace

1 watchers

gitskills

0 watchers

100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

0 watchers

记录自己学习AI的学习笔记

0 watchers

AlgoNotes

公众号【浅梦学习笔记】文章汇总:包含排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合计算广告，大数据，图算法，NLP&CV，求职面试等内容

0 watchers

Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

0 watchers

alphalens

Performance analysis of predictive (alpha) stock factors

0 watchers

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

0 watchers

answer

An open-source knowledge based community software. You can use it to quickly build your Q&A community for product technical support, customer support, user communication, and more.

0 watchers

arweave

The Arweave server and App Developer Toolkit.

0 watchers

atspy

AtsPy: Automated Time Series Models in Python (by @firmai)

0 watchers

autoLiterature

autoLiterature是一个基于Dropbox和Python的自动文献管理器。

0 watchers

awesome-DeepLearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

0 watchers

awesome-made-by-russians

🇷🇺 The best open source projects that were made and mainly contributed by Russian developers

0 watchers

Awesome-RSPapers

Recommender System Papers

0 watchers

baiduyun_deeplearning_competition

百度云魅族深度学习应用大赛

0 watchers

carbon_baseline

Carbon Baseline

0 watchers

cn-machine-learning

https://cn.udacity.com/mlnd/

0 watchers

coding-interview-university

A complete computer science study plan to become a software engineer.

0 watchers

CodingInterviewChinese2

《剑指Offer：名企面试官精讲典型编程面试题》第二版源代码

Jupyter Notebook · 0 watchers

community

PaddlePaddle Developer Community

0 watchers

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

0 watchers

conflux-developer-site

conflux docs for developer

0 watchers

cpp-httplib

A C++ header-only HTTP/HTTPS server and client library

0 watchers

crnn.pytorch

Convolutional recurrent network in pytorch

0 watchers

CRNN_Chinese_Characters_Rec

(CRNN) Chinese Characters Recognition.

0 watchers

CS-Awesome-Courses

计算机的优秀课程

0 watchers

dask

Parallel computing with task scheduling

0 watchers

data-engineering-interview-questions

More than 2000+ Data engineer interview questions.

0 watchers

datamining

learn in datamining

0 watchers

DataV

Vue数据可视化组件库（类似阿里DataV，大屏数据展示），提供SVG的边框及装饰、图表、水位图、飞线图等组件，简单易用，长期更新(React版已发布)

0 watchers

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

0 watchers

DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

0 watchers

DeepLearning-500-questions

0 watchers

design-resources-for-developers

Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more

0 watchers

developer-roadmap

Roadmap to becoming a web developer in 2020

0 watchers

DOC-CHN

FedAI 社区中文文档

0 watchers

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/

0 watchers

ElasticCTR

ElasticCTR，即飞桨弹性计算推荐系统，是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度CTR模型、飞桨开源框架的大规模分布式训练能力、工业级稀疏参数弹性调度服务，帮助用户在Kubernetes环境中一键完成推荐系统部署，具备高性能、工业级部署、端到端体验的特点，并且作为开源套件，满足二次深度开发的需求。

0 watchers

EssayTopicPredict

高考作文题目预测模型 v1.0

0 watchers

ethereum-generate-wallet

Scripts collection to generate ECDSA keypairs and derive their Ethereum address

0 watchers

ethereum_book

精通以太坊（中文版）

0 watchers

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

0 watchers

FATE

An Industrial Grade Federated Learning Framework

0 watchers

FISCO-BCOS-SIG

专项兴趣小组（Special Interest Group，简称SIG）信息展示

0 watchers

flask-vuejs-template

Flask + Vue JS Template

0 watchers

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.

0 watchers

Girls-In-AI

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

0 watchers

gitbook

📝 Modern documentation format and toolchain using Git and Markdown

0 watchers

GoBigger

OpenDILab Multi-Agent Environment

0 watchers

goEncrypt

go语言封装的各种对称加密和非对称加密，可以直接使用，包括3重DES，AES的CBC和CTR模式，还有RSA非对称加密,ECC椭圆曲线的加密和数字签名

0 watchers

gpt-3

GPT-3: Language Models are Few-Shot Learners

0 watchers

Grad-CAM.pytorch

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

0 watchers

hackathon

基于FISCO BCOS的黑客松参赛项目集锦

Java · 0 watchers

hello-algo

《Hello 算法》一本动画图解、能运行、可提问的数据结构与算法入门书。提供 Java, C++, Python, Go, JS, TS, C# 源代码。

0 watchers

hello-algorithm

🌍 针对小白的算法训练 | 包括四部分：①.算法基础 ②.力扣图解 ③.大厂面经 ④.CS_汇总 | 附：1、千本开源电子书 2、百张技术思维导图（项目花了上百小时，希望可以点 star 支持，🌹感谢~）

0 watchers

hexo

A fast, simple & powerful blog framework, powered by Node.js.

0 watchers

HWStatusCodeAutoQuery

华为招聘状态码全天候在线自动查询工具

0 watchers

hypertrons-crx

Hypertrons chrome extension

0 watchers

ImageProcessing-Python

该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。

0 watchers

jina

🔮 Build multimodal AI services via cloud native technologies · Neural Search · Generative AI · Cloud Native

0 watchers

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

0 watchers

libevent

Event notification library

0 watchers

Machine-Learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

0 watchers

MachineLearning_Zhouzhihua_ProblemSets

Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题，个人解答。各算法都拿numpy和pandas实现了一遍

0 watchers

mathAI

一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.

0 watchers

MathModel

研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

0 watchers

MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Jupyter Notebook · 0 watchers

myonlinebook

0 watchers

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

0 watchers

Nodejs_program

TypeScript · 0 watchers

ohos_autolayout

0 watchers

open-digger

Open source analysis tools

Jupyter Notebook · 0 watchers

Open-Source-Community-Insights

Data analysis of open source communities through Github online data

0 watchers

os-tutorial

How to create an OS from scratch

0 watchers

os_exercises

清华大学OS公开课——课后练习

C++ · 0 watchers

Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

0 watchers

PaddleNLP

Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.

0 watchers

PaddleOCR

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

0 watchers

PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, etc.

0 watchers

PaddleSlim

PaddleSlim is an open-source library for deep model compression and architecture search.

0 watchers

php

为刚刚学习php语言以及web网站开发整理的一套资源，有视频，实战代码，学习路径等。会持续更新。。。

0 watchers

polkadot

Polkadot Node Implementation

0 watchers

Practicing-Federated-Learning

0 watchers

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

0 watchers

PythonPark

Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。

0 watchers

Python_Daily_Function_Library

Python_Daily_Function_Library

0 watchers

Pytorch-Auto-Slim-Tools

pytorch AutoSlim tools，支持三行代码对pytorch模型进行剪枝压缩

0 watchers

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

0 watchers

PytorchOCR

基于Pytorch的OCR工具库，支持常用的文字检测和识别算法

0 watchers

reach-lang

Reach: The Safest and Easiest DApp Programming Language

0 watchers

RecBole

A unified, comprehensive and efficient recommendation library

0 watchers

recsys

LR, FM, DeepFM, xDeepFM, DIN, CF等推荐算法代码demo。采用TFRecords作为输入，方便实际场景应用。

0 watchers

RecSys-1

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

loneranger1024

V2EX member #673630, joined on 2024-01-28 11:58:19 +08:00

LoneRanger1024 GitHub

longranger2

loneranger1024 提问技术话题好玩工作信息交易信息城市相关

你的屎山代码该装个 GPS 了

技术栈 • loneranger1024 • May 6 • Lastly replied by sprinng

告别人肉复制粘贴：我的 Claude + Codex 自动化协作工作流

Claude Code • loneranger1024 • Apr 21 • Lastly replied by Limius

plancoach，下一个小猫补光灯？

分享发现 • loneranger1024 • Aug 15, 2025 • Lastly replied by julyclyde

从 0 到 2000 元，我花了 10 个月

分享创造 • loneranger1024 • Aug 12, 2025 • Lastly replied by loneranger1024

» More topics by loneranger1024

loneranger1024's recent replies

Mar 14

Replied to a topic by loneranger1024 › Claude Code › 告别人肉复制粘贴：我的 Claude + Codex 自动化协作工作流

@YUX 交保护费换平安哈哈😂

Mar 14

Replied to a topic by loneranger1024 › Claude Code › 告别人肉复制粘贴：我的 Claude + Codex 自动化协作工作流

@tlerbao 这几个 skill 主要是给 claude 来使用的，看上去主文件是维护到 claude code 的目录去了

Mar 14

Replied to a topic by loneranger1024 › Claude Code › 告别人肉复制粘贴：我的 Claude + Codex 自动化协作工作流

@Ne @lyhiving 听着很不错，到时候也试试哈哈

Mar 14

Replied to a topic by loneranger1024 › Claude Code › 告别人肉复制粘贴：我的 Claude + Codex 自动化协作工作流

@YUX 插个话题，话说怎么稳定订阅 claude ，现在走的是 api ，但感觉很不划算哈哈

Mar 14

Replied to a topic by loneranger1024 › Claude Code › 告别人肉复制粘贴：我的 Claude + Codex 自动化协作工作流

@YUX yep ，这个我最近也在使用，也是很不错的

Aug 14, 2025

Replied to a topic by loneranger1024 › 分享发现 › plancoach，下一个小猫补光灯？

@Chicagoake 确实也很好奇，传播上感觉比之前的小猫补光灯还要更火些，一方面确实有需求，另一方面那篇笔记的质量还挺高的，挺吸引人的，还有就是在拆解任务上，也增加了游戏化设计，跟其他的 todo 类软件单一拆解任务体验上还是不一样的

Aug 14, 2025

Replied to a topic by loneranger1024 › 分享发现 › plancoach，下一个小猫补光灯？

@Chicagoake @julyclyde 我的问题，没有复制对链接，是这篇笔记
86 freemind_workshop 发布了一篇小红书笔记，快来看吧！ 😆 88HQhpfhwl2 😆 https://xhslink.com/n/3cGWfIuF3Zo 复制本条信息，打开 [小红书] App 查看精彩内容！

Aug 12, 2025

Replied to a topic by loneranger1024 › 分享创造 › 从 0 到 2000 元，我花了 10 个月

@lswlray 嗯嗯其实主要还是产品推广，文章一开头也介绍了项目灵感也是来自于小红书的一篇笔记，该笔记下面互动的用户画像也主要以情侣为主，所以产品最开始的目标客户群体也是针对情侣（至于你提到的其他人群是否有同样的需求，当然也是有的，后面也有针对其他人群的需求针对性推出不同类型的聊天报告（好友版、群聊版本））。这个人群也不小了哈哈，光那篇笔记底下蹲的人就有 1w 人了，最初想着能转换 1w 个用户就可以了，不要求很多。但实际上如何能辐射到这么多的用户群体才是最大的问题，虽然一直有更新笔记，但一直没有一篇爆款笔记，最多赞和收藏的一篇笔记也就 300 多，可能缺点网购🤔，也正如你所说找擅长推广的人合作，这个也是个办法的，其实也是有尝试，但确实没有找到合适的

Aug 11, 2025

Replied to a topic by loneranger1024 › 分享创造 › 从 0 到 2000 元，我花了 10 个月

@lswlray 当然还有其他人有付费意愿，不过情侣群体的付费意愿会比其他人群更高些（至少从目前的统计样本来看）

Feb 3, 2025

Replied to a topic by loneranger1024 › 分享创造 › 从 0 到 2000 元，我花了 10 个月

@jianguoni 其实目前没有很好地解决，我理解只有做到本地运行才能真正解决这个问题，所以才说这个项目有它的局限性，我想到的方式有两种：一种是开源出来，另一种是做成个 app 来本地运行

» More replies by loneranger1024