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Machine learning books and papers

Machine learning books and papers

前往频道在 Telegram

📈 Telegram 频道 Machine learning books and papers 的分析概览

频道 Machine learning books and papers (@machine_learn) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 24 533 名订阅者,在 教育 类别中位列第 8 070,并在 伊朗 地区排名第 13 771

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 24 533 名订阅者。

根据 22 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -150,过去 24 小时变化为 -5,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 7.45%。内容发布后 24 小时内通常能获得 1.90% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 1 829 次浏览,首日通常累积 465 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 3
  • 主题关注点: 内容集中在 disorder, psy, مقاله, framework, graph 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
Admin: @Raminmousa ID: @Machine_learn link: https://t.me/Machine_learn

凭借高频更新(最新数据采集于 23 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。

24 533
订阅者
-524 小时
-417
-15030
帖子存档
Breaking the Sorting Barrier for Directed Single-Source Shortest Paths 📚 link @Machine_learn
Breaking the Sorting Barrier for Directed Single-Source Shortest Paths 📚 link @Machine_learn

Title: Personalized Safety Alignment for Text-to-Image Diffusion Models Paper Links: • arXiv Page: https://arxiv.org/abs/2508
Title: Personalized Safety Alignment for Text-to-Image Diffusion Models Paper Links: • arXiv Page: https://arxiv.org/abs/2508.01151 • PDF: https://arxiv.org/pdf/2508.01151 • Github: https://m-e-agi-lab.github.io/PSAlign/ @Machine_learn

CoAct-1: Computer-using Agents with Coding as Actions 📚 Read @Machine_learn
CoAct-1: Computer-using Agents with Coding as Actions 📚 Read @Machine_learn

DSPy SIMBA explained 📚 Link @Machine_learn
DSPy SIMBA explained 📚 Link @Machine_learn

🔹 Title: ReMoMask: Retrieval-Augmented Masked Motion Generation 🔹 Paper Links: • arXiv Page: https://arxiv.org/abs/2508.026
🔹 Title: ReMoMask: Retrieval-Augmented Masked Motion Generation 🔹 Paper Links: • arXiv Page: https://arxiv.org/abs/2508.02605 • PDF: https://arxiv.org/pdf/2508.02605 • Project Page: https://aigeeksgroup.github.io/ReMoMask/ • Github: https://github.com/AIGeeksGroup/ReMoMask @Machin_learn

Mathematical theory of deep learning 📚 Book @Machine_learn
Mathematical theory of deep learning 📚 Book @Machine_learn

Matrix Calculus (for Machine Learning and Beyond) Link @Machine_learn
Matrix Calculus (for Machine Learning and Beyond) Link @Machine_learn

Repost from N/a
با عرض سلام سه مقاله تحت ريوايز داريم حداقل مي تونيم ٥ سايت به هر كدوم اضافه كنيم حوزه هاي LLM و Medical قابل اضافه شدن هستن. @Raminmousa @papercite

Article Title: OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data PDF Download Link: https://arxiv.org/pdf/2505.18445v1.pdf GitHub:https://github.com/showlab/omniconsistency @Machine_learn

An introduction to the symmetric group algebra 📚 link @Machine_learn
An introduction to the symmetric group algebra 📚 link @Machine_learn

🎥 RNA-Seq Data Analysis in R: An Effective Step-by-Step Guide 🎞 Watch @Machine_learn

Deep Research Agents with Test-Time Diffusion Google keeps pushing on diffusion. 📚Paper @Machine_learn
Deep Research Agents with Test-Time Diffusion Google keeps pushing on diffusion. 📚Paper @Machine_learn

Repost from Papers
با عرض سلام نفرات ۴ و ۵ این پروژه قابل اضافه شدن است و علاوه بر تسک هزینه مشارکت نیز گرفته می‌شود. 4:250$ 5:200$ جهت مشارکت ب
با عرض سلام نفرات ۴ و ۵ این پروژه قابل اضافه شدن است و علاوه بر تسک هزینه مشارکت نیز گرفته می‌شود. 4:250$ 5:200$ جهت مشارکت به ایدی بنده پیام بدین. @Raminmousa

The Era of DiffusionLM might be upon us 📚 Link @Machine_learn
The Era of DiffusionLM might be upon us 📚 Link @Machine_learn

AI Comes Up with Bizarre Physics Experiments. But They Work. 👉 Read @Machine_learn
AI Comes Up with Bizarre Physics Experiments. But They Work. 👉 Read @Machine_learn

Anthropic just released a research paper. Inverse Scaling in Test-Time Compute 📚 link @Machine_learn
Anthropic just released a research paper. Inverse Scaling in Test-Time Compute 📚 link @Machine_learn

How to Train Your LLM Web Agent: A Statistical Diagnosis 📕 Link @Machine_learn
How to Train Your LLM Web Agent: A Statistical Diagnosis 📕 Link @Machine_learn

فقط دو نفر باقی مونده این کار دوستانی که نیاز دارن به بنده مراجعه کنند.!!! @Raminmousa

Step-by-Step Diffusion: An Elementary Tutorial 📚 Read @Machine_learn
Step-by-Step Diffusion: An Elementary Tutorial 📚 Read @Machine_learn