Activity
Stars and mentions · Last 30 days, Oct 9 – Nov 7
Top repositories
ZhuLinsen’s repositories ranked by pull request authors, as on trending.
Contributes to
Repositories outside ZhuLinsen’s account where ZhuLinsen opened or reviewed pull requests in the past 365 days.
Who noticed ZhuLinsen
Everyone who starred or forked ZhuLinsen’s repositories since the archive began in 2011.
Notable accounts
Ordered by the stars their own repositories have received.
Biggest fans
Accounts that starred the most of these repositories.
Breakout weeks
Each repository’s best week of new stars, with the release published around it.
Achievements
Awards earned by the repositories ZhuLinsen owns. Select an award to embed its badge.
- Gold
- 101st place finishes
- Silver
- 232nd place finishes
- Bronze
- 203rd place finishes
- Awarded repositories
- 1Owned by ZhuLinsen now
Repositories
Ordered by gold, then silver, then bronze.
- daily_stock_analysisBest: 1st by forks, 893 forks102320
Every award
Top-three finishes of these repositories in completed trending days and weeks, newest first.
A repository earns an award for finishing first, second or third in a completed trending day or week, ranked by new stars, new forks or pull request authors. Awards follow a repository through renames and transfers and count toward its current owner. Weeks run Monday to Sunday, UTC.
Mentions
安装方式： git clone ZhuLinsen/alphasift.gitcd alphasift pip install -e . A 股选股（不用 Key）： alphasift screen dual_low --no-llm 港股： alphasift screen global_value --market hk --no-llm 保存结果后评估： alphasift screen dual_low --no-llm --save-run alphasift evaluate <run_id> --explain
想玩美股的兄弟，强烈建议装一个，GitHub 上已经 4 万收藏了。 这是一个基于 AI 大模型的自选股智能分析系统，A 股、港股、美股都能用，每天自动分析并推送决策仪表盘。 📊 分析市场走势 📰 整理重要资讯 📈 跟踪个股表现 🤖 自动生成投资分析报告 ZhuLinsen/daily_stock_analysis t.co
开源了一个 1600 行的大模型推理引擎，能跑真实模型，测试场景吞吐超过 vLLM 想入门大模型推理，直接读 vLLM 太重。所以开源了 LiteMoE：约 1600 行 Python ，能跑真实的 Granite 模型，一个下午能读完主线。 适合想快速上手推理的同学： - 交互演示，逐步看一次真实推理： zhulinsen.github.io - 教程，从 KV Cache 、MoE 讲到 DeepSeek 、Kimi 、Qwen 的新设计： github.com/ZhuLinsen/LiteMoE/blob/main/docs/tutor… 固定批次的测试场景下，吞吐是 vLLM 的 105 ～ 109%，脚本可复现。算子用的是 vLLM 的，提升来自算子外的执行层。定位是学习和实验，上线还是用 vLLM 。 如果大家感兴趣，后面会继续做多卡、CPU 版本系列。 项目： ZhuLinsen/LiteMoE 演示： zhulinsen.github.io
For Finance + AI agents in Claude, Cursor or n8n: Run 15 live SEC EDGAR 8-K/10-K, Half-Kelly, Monte Carlo Overfitting & B2B Lead tools via zero-key MCP (`npx -y b2b-lead-quant-mcp`): rotenkus-dot/b2b-lead-quant-mcp x.com
想要玩美股的兄弟强烈建议去安装一下，github高达4w收藏。 基于 AI 大模型的 A股/港股/美股自选股智能分析系统，每日自动分析并推送决策仪表盘 📊 分析市场走势 📰 整理重要资讯 📈 跟踪个股表现 🤖 自动生成投资分析报告 ZhuLinsen/daily_stock_analysis t.co
想炒美股的朋友一定要装这个，github 收藏数高达 4 万。 基于 AI 大模型的 A 股/港股/美股自选股智能分析系统，每日自动分析并推送决策仪表盘。 📊 分析市场走势 📰 整理重要资讯 📈 跟踪个股表现 🤖 自动生成投资分析报告 ZhuLinsen/daily_stock_analysis t.co