Single-channel signal so far. GitHub picked up +40 stars in 24h. Reddit, Bluesky and Dev.to are still cold — typical for a niche project at this stage.
walkinglabs/hands-on-modern-rl sits at 1,663 GitHub stars with steady Python traction — organic growth keeps it on the trending list.
+40 stars 24h | +154 7d
5 in 24h | 1 source
1/6 channels firing
no linked package yet
last commit 7h ago
Each channel contributes 0-1. Per-channel tiers: GitHub (breakout 1.0 / hot 0.7 / rising 0.4), HN (front-page 1.0 / ≥3 mentions 0.7 / 1-2 mentions 0.4), Bluesky (≥5 mentions 1.0 / 2-4 0.7 / 1 0.4), dev.to (≥3 articles 1.0 / 2 0.7 / 1 0.4), Reddit (corpus-normalized 48h velocity), X (≥10 mentions 24h 1.0 / 3-9 0.7 / 1-2 0.4).
* Reddit bar shows a per-repo velocity proxy (raw score / 100); the score formula uses the corpus-normalized version so a single repo's bar may not match its contribution to the corpus-wide ranking.
// KNOWN REPO · PACKAGE · LAUNCH · SITE SURFACES
Open-source lab for Agentic AI & RL — building projects, tutorials, and shared resources
"Vibe-Trading: Your Personal Trading Agent"
"🐈 nanobot: The Ultra-Lightweight Personal AI Agent"
LLM驱动的 A/H/美股智能分析:多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送,零成本定时运行,纯白嫖. LLM-powered stock analysis system for A/H/US markets.
Observal is an Observability and Evaluation platform for human-in-the-loop agents
TradingAgents: Multi-Agents LLM Financial Trading Framework
📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
Ranked confirmation layer for repo-specific X buzz in the last 24h.
花了段时间写了 RL 教程 Hands-On Modern RL,路线是从 CartPole + PPO 入门,然后到 LLM 后训练(RLHF、DPO、GRPO)、Agentic RL。代码先行,公式用来解释现象。英文版很快更新。 目前是草稿版本,RLHF、Agentic RL 部分本地审校中。 欢迎提 PR 或 Issue & 显卡支持: github.com/walkinglabs/hands…
Matched through a repo-specific project phrase query.
比较有趣的入门教程 该项目希望用一条更“实践优先”的路径来学习现代强化学习:从经典控制出发,逐步连接到 LLM 后训练基础、DPO/GRPO/RLVR、Agentic RL 和 VLM RL 等现代应用。 GitHub: github.com/walkinglabs/hands… WebPage: walkinglabs.github.io/hands-…
Matched through a repo-specific project phrase query.
Hands-On Modern RL: Open-source curriculum from basic RL to LLM alignment, RLVR, and agentic systems. Covers PPO, DPO, GRPO with line-by-line code walkthroughs. Interactive learning maps, Jupyter notebooks, and bilingual docs. 1,316 stars #ReinforcementLearning #LLM
Matched through a repo-specific project phrase query.
HANDS-ON MODERN RL DRAFT RELEASED New tutorial covers PPO, RLHF, and Agentic workflows. Code-first approach uses formulas to explain phenomena. English update pending while sections undergo local review.
Matched through a repo-specific project phrase query.
🐍 hands-on-modern-rl ⭐ 40 stars **"Guide complet du Reinforcement Learning moderne : théories et applications pratiques !"** #GitHub
Matched through a repo-specific project phrase query.