Jupyter Notebook · 163 watchers
SSD_keras
简明 SSD 目标检测模型 keras version（交通标志识别 训练部分见 dev 分支）
kuhung's repos on GitHub
JavaScript · 114 watchers
flask_vue_ML
后端+前端+算法模型，机器学习项目 demo。Flask + vue + ML, full stack machine learning project construction.
CSS · 110 watchers
machine-learning-systems-design
机器学习系统设计案例与测试 Machine Learning Systems Design Cases & Tests
Python · 85 watchers
yysGAN
GAN 使用生成对抗网络生成新的图片样本
Python · 82 watchers
bert_finetune
中文语料 Bert finetune（Fine-tune Chinese for BERT）
HTML · 78 watchers
DateCastle
图像识别与推荐系统两类
76 watchers
The-Managers-Path-CN
技术领导者之路中文翻译 A Guide for Tech Leaders Navigating Growth & Change
38 watchers
mindmap
结构化思维导图汇总，包括软件开发、机器学习、演讲、思维方式等领域，Xmind 制作。
Python · 37 watchers
alpha-mining
alpha101💰+manim📹更好理解的量化入门动画制作流
HTML · 30 watchers
yuanshen-idle
原神放置挂机小游戏，真实掉率，不肝不氪
JavaScript · 26 watchers
audiovisualizer
🚀 High-performance 3D audio visualizer (Three.js/Web Audio API) with sphere and water ripple effects, supporting file/mic input.
Jupyter Notebook · 12 watchers
Student-Grants
DataCastle 大学生助学金精准资助预测（样本不均衡条件下的多分类任务）第7/352名解决方案
TypeScript · 10 watchers
ask-jev
是非选择问Jev
Shell · 9 watchers
weread-book-skills
把微信读书笔记编译成可执行的 AI Agent Skills(SKILL.md)，一次挂载即可在 Claude Code / Cursor / Codex / Gemini CLI 运行。Don't just read. Execute.
TypeScript · 5 watchers
benchmark-for-LLM
Measure how fast your LLM API really is｜本地大语言模型的性能基准测试
Jupyter Notebook · 4 watchers
interpretable-machine-learning-cases
可解释的机器学习实践
Python · 4 watchers
RAG-in-LangGraph
A quick and simple example for build RAG using LangChain related tools
HTML · 4 watchers
understanding-jev
深入解读 Jev 模型：毫秒级判定与工程边界
TypeScript · 3 watchers
deep-relationship
凡人修仙传｜小说关系图谱｜graph｜Seek and visualization the relationship in Novel
Jupyter Notebook · 3 watchers
The-Programmers-Guide-to-the-Galaxy
Package resources & real life examples. （机器学习各类模型的细节探索）
Jupyter Notebook · 2 watchers
SMP-ETST-2018
5th solution(part) for SMP ETST(evaluation of text sourcing technology) 2018
Jupyter Notebook · 1 watchers
2019-nCoV
2019-nCoV data exploration, visualization and more.
1 watchers
ai-town
A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.
1 watchers
awesome-machine-learning-cn
机器学习资源大全中文版，包括机器学习领域的框架、库以及软件
CSS · 1 watchers
awesome-prompt-engineering
awesome prompt engineering for multi-language
1 watchers
DeepRLHacks
深度强化学习中的技巧（Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)）
Python · 1 watchers
k-online
在线k线预测系统
HTML · 1 watchers
kuhung.github.io
曾用域名 kuhungio.me
TypeScript · 1 watchers
llm-graph
LLM知识图谱
Jupyter Notebook · 1 watchers
onchain-data-mining
链上数据挖掘101教程 onchain-data-mining 101
TypeScript · 1 watchers
qwerty-learner
为键盘工作者设计的单词记忆与英语肌肉记忆锻炼软件 / Words learning and English muscle memory training software designed for keyboard workers
Python · 1 watchers
slack-gpt2
OpenAI's GPT2 integrated with slack.
CSS · 1 watchers
soup
Smashed chicken soup for the soul
Jupyter Notebook · 1 watchers
Tips_for_Data_Scientist
Tips and tricks collected from paper,books,blogs,datahacks and so on.
TeX · 0 watchers
500lines
500 Lines or Less
Jupyter Notebook · 0 watchers
ai-engineering-hub
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
TypeScript · 0 watchers
algorithm-relationship
算法深度关系图
Python · 0 watchers
algorithms
Minimal examples of data structures and algorithms in Python
Jupyter Notebook · 0 watchers
Analytics_Vidhya
Codes related to activities on AV including articles, hackathons and discussions.
JavaScript · 0 watchers
audio-extract
从mp4等视频文件提取音频并加速、合并，用于下游AI任务，提高信息密度、减少处理成本。
0 watchers
awesome-claude-skills
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
0 watchers
Awesome-Ollama-Server
这是一个用于监控和检测 Ollama 服务可用性和性能的系统。它提供了一个现代化的 Web 界面，支持多语言（中文/英文），并具有实时检测和数据展示功能。
0 watchers
BullshitGenerator
文章生成器
Jupyter Notebook · 0 watchers
cartoonify
Deploy and scale serverless machine learning app - in 4 steps.
Python · 0 watchers
cc-context-audit
0 watchers
cc-design-pattern
cc
0 watchers
claudeskills-hub
Claude Skills Hub - Free, open-source marketplace for 150+ high-quality Claude Skills with multi-language support to boost your AI productivity
JavaScript · 0 watchers
contextarmor
Local pre-send checks for client reports, support tickets, and error logs before AI.
Jupyter Notebook · 0 watchers
data-engineering-handbook-for-llm
A data engineering book for LLMs featuring exercises, PDF downloads, and mind maps
Python · 0 watchers
datacleaner
A Python tool that automatically cleans data sets and readies them for analysis.
CSS · 0 watchers
dsqa
Data science questions and answers
0 watchers
every-programmer-should-know
A collection of (mostly) technical things every software developer should know
0 watchers
face-mask-tools
视频批量人像马赛克工具
TypeScript · 0 watchers
graph-template
知识图谱模版仓库
0 watchers
HumanSystemOptimization
提前进入养生状态
Python · 0 watchers
jlpt-push
日本语 JLPT 文法抽查，每小时一条语法考点，助力考前冲刺🚀
0 watchers
kuhung
Jupyter Notebook · 0 watchers
Langchain-Full-Course
TeX · 0 watchers
leetcode
LeetCode题解，151道题完整版
Python · 0 watchers
manim-mcp-server
更加标准、简洁易用、适配多端的manim-mcp
Python · 0 watchers
mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
0 watchers
MochiDiffusion
Run Stable Diffusion on Mac natively
Jupyter Notebook · 0 watchers
Multimodal-Emotion-Recognition
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
Jupyter Notebook · 0 watchers
numerical-linear-algebra
This course contains the notebooks for the Numerical Linear Algebra elective in USF's MSAN program, summer 2017
0 watchers
opyrator
🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.
Jupyter Notebook · 0 watchers
Sentiment_Analysis
英语环境下的情感分析——调包+决策树VS神经网络
Python · 0 watchers
simple-image-search
更小模型 deploy by kuhung：http://img-search.kuhungio.cn/
0 watchers
smart-excel-ai
Generate the Excel formulas you need in seconds using ChatGPT.
Python · 0 watchers
smpcup2016
5th Place Solution for smp cup competition （第五届SMP全国社会媒体处理大会技术测评第五名解决方案）
Python · 0 watchers
spinningup
An educational resource to help anyone learn deep reinforcement learning.
Python · 0 watchers
talk-with-ai
和AI谈谈对话工作流
Jupyter Notebook · 0 watchers
The-Data-Identity
Baseline (AUC 0.78+ ) For About Student DataFest 2018: The Data Identity in Analytics Vidhya
0 watchers
time-series-tricks
时间序列处理技巧、建模思路
Jupyter Notebook · 0 watchers
TimeSeriesPrediction
0 watchers
traktoken-skill
Query current LLM API prices and calculate scenario costs with TrakToken
TypeScript · 0 watchers
travel-in-hours
小时单面旅行
Vue · 0 watchers
vue-idle-game
一个全随机的刷装备小游戏
TypeScript · 0 watchers
WaitlistAI
waitlist for AI
0 watchers
water-mark
专门用于给图片加水印打码的工具，完全基于浏览器本地API，无任何网络请求（特别适合身份证等敏感证件）
Python · 0 watchers
weread2notion
将微信读书划线同步到Notion
JavaScript · 0 watchers
xiao
合成小游戏
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kuhung🏢 算法工程师 V2EX member #239959, joined on 2017-07-12 19:10:16 +08:00Today's activity rank 3528 |
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kuhung's recent replies
11h 30m ago Replied to a topic by zackkk › 程序员 › 产品形态来说，好多咱们的程序员以为 APP > WEB |
我记得有个出海数据，APP 的表现远好于 Web 。如果是自己做产品的话，Web 不算好形态，还是要向 APP 靠近。当然其他讨论另算。
22h 35m ago Replied to a topic by DeepSIeep › 程序员 › AI 写的项目，让 AI 排查问题。但是有没有感觉沟通过程中读 AI 说的话很费劲，很难懂。。。 |
太抽象了 跟模型有关系 特别针对编程场景过度训练的这几个模型 用 Gemini3.8 来解读不错
Sep 24 Replied to a topic by guanxue › 职场话题 › 不吐不快，各位大佬感觉 AI 带来了什么？ |
经济（至少是股票）给盘活了，但是代价是大量的内容 slop 和劳动力待机。
Sep 23 Replied to a topic by yayiji › Claude › Claude 基础款 20 刀的 opus 5.5 够用吗？ |
够用但需要提防被封号
Sep 23 Replied to a topic by pipibai › 生活 › 300 万存款财务自由 |
应该要分散吧 一半多投股票 剩下留点儿流动资金
Sep 22 Replied to a topic by absolutezz › grok › 真心求教 grok 性价比如何 |
cursor 的 20 刀不太耐用，一般强度不够。建议搭配 antigravity ，能干活。
Sep 21 Replied to a topic by sikuu2al › 上海 › 上海有什么值得走走的吗？ |
推荐浦东滨江散步🚶 从世博园走到美术馆，体验很不错
Sep 21 Replied to a topic by sikuu2al › 上海 › 上海有什么值得走走的吗？ |
怎么没人推荐白天安福路，晚上长寿路（我说的是逛街打望
Sep 20 Replied to a topic by EyebrowsWhite › 问与答 › Jev 有没有已经上手用过的 |
@Abmcar 有去 AI 味的 skill ，也有模型的功劳。如果你是说 jev 这篇的话，我其实还口述审阅了初稿。初稿是真的没法看，全是假大空的比方。整体流程是 Gemini 3.8 flash 收集的资料内容，然后我会让它给大纲、之后按照我约定的框架内容做调整，再丰富内容。这篇初稿出现的问题在所有 AI 辅助生产的内容里面都有。我口述转文字的思路后，最后让 Claude4.6 opus 读我的写作 skills ，完成最后输出。
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