现已上线！2025 年 Telegram 研究 — 年度关键洞察 
Computer Science and Programming
前往频道在 Telegram
Channel specialized for advanced topics of: * Artificial intelligence, * Machine Learning, * Deep Learning, * Computer Vision, * Data Science * Python Admin: @otchebuch Memes: @memes_programming Ads: @Source_Ads, https://telega.io/c/computer_science
显示更多📈 Telegram 频道 Computer Science and Programming 的分析概览
频道 Computer Science and Programming (@computer_science_and_programming) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 142 737 名订阅者，在 技术与应用 类别中位列第 816，并在 意大利 地区排名第 87 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 142 737 名订阅者。
根据 14 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 -1 292，过去 24 小时变化为 -44，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 6.29%。内容发布后 24 小时内通常能获得 1.82% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 8 976 次浏览，首日通常累积 2 595 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 17。
- 主题关注点： 内容集中在 sellerflash, github, developer, pricing, waybienad 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：
“Channel specialized for advanced topics of:
* Artificial intelligence,
* Machine Learning,
* Deep Learning,
* Computer Vision,
* Data Science
* Python
Admin: @otchebuch
Memes: @memes_programming
Ads: @Source_Ads,
https://telega.io/c/computer_sc...”
凭借高频更新（最新数据采集于 15 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 技术与应用 类别中的关键影响点。
142 737
订阅者
-4424 小时
-2007 天
-1 29230 天
帖子存档
Transferable Interactiveness Networks (TIN) for Human-Object Interaction (HOI) Detection
FALDetector:
Github:
https://github.com/peterwang512/FALdetector
Project page:
https://peterwang512.github.io/FALdetector/
Installation tutorial:
https://www.youtube.com/watch?v=fZSWAsjwQpE
Paper:
https://arxiv.org/pdf/1906.05856.pdf
Photoshop detector AI called FALDetector aims to detect facial edits that warps the faces to make chin or jaw looks thinner, or the forehead smaller. However, it is not really accurate and consistent as it look at the individual pixels too much, as different resolution of the same person can result in different predictions with this AI model.
Github:
https://github.com/RameenAbdal/StyleFlow
Paper:
https://arxiv.org/pdf/2008.02401.pdf
Video explaining this paper:
https://www.youtube.com/watch?v=Lt4Z5oOAeEY
Super new addition to GANs
StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows
A new video shows a crew of Boston Dynamics robots busting some impressive dance moves.
IMHO: That advances of technology have also led to fears that the robots could become tools of repression or even Terminator-like killing machines.
Maybe that’s why they picked this particular song by The Contours — which is definitely a bop, but also contains the plaintive lines:
Do you love me
Now that I can dance
TgStat team provided channel's progress for 2020 year. We are keeping growing in every categories: new members, global ranking, the average reach of each post, views per days, citation index when compared with previous year's statistics.
We will try our best to provide cutting edge of Artificial Intelligence for AI lovers.
Thank you for all subscribers and Thank you for being with us.
+1Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale
Montreal AI startup, Zetane, releases free software platform for the detailed analysis and visualization of popular deep learning models used in industry and research. By opening up black-box algorithms, diverse professionals gain new means to collaborate on applied machine Learning projects.
NeurIPS 2020 highlights at:
https://crossminds.ai/category/neurips%202020/
Also follow recent conferences and discover your inspirations and see what's happening
NeurIPS 2020 is the largest machine learning conference and is just around the corner! Check out this exclusive collection of 100+ pre-recorded talks on the latest machine learning research from world-renowned tech companies and universities. Videos are shared by the authors with free public access
Project page: https://video-nerf.github.io/
Paper: https://arxiv.org/pdf/2011.12950.pdf
Code: coming soon
3D photo is great, but have you ever seen 3D *free-viewpoint video*? Space-time neural rendering from a single, casually captured video!
https://youtu.be/2tN8ghNu2sI
https://laconicml.com/coursera-artificial-intelligence-courses/?fbclid=IwAR2UlS5rr5ya9f3YtxQFdyQnA69ll-m3xTN5kdQVaiUpRp5nkaIyOuq5e8g
Yann LeCun’s Deep Learning Course at CDS also free now:
https://cds.nyu.edu/deep-learning/
Top 40 COMPLETELY FREE Coursera Artificial Intelligence and Computer Science Courses
Top deep learning Github repositories
https://github.com/mbadry1/Top-Deep-Learning
