Computer Science and Programming

前往频道在 Telegram

Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:

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印度29 532 技术与应用8 736...

📈 Telegram 频道 Computer Science and Programming 的分析概览

频道 Computer Science and Programming (@machinelearning_programming) 英语语言赛道中的是活跃参与者。目前社区聚集了 14 843 名订阅者，在 技术与应用 类别中位列第 8 736，并在印度地区排名第 29 532 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 14 843 名订阅者。

根据 04 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 -152，过去 24 小时变化为 -7，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 14.63%。内容发布后 24 小时内通常能获得 N/A% 的反应，占订阅者总量。
帖子覆盖： 每篇帖子平均可获得 0 次浏览，首日通常累积 0 次浏览。
互动与反馈： 受众积极参与，单帖平均反应数为 0。
主题关注点： 内容集中在 learning, github, engineer, quantization, detection 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 for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:”

凭借高频更新（最新数据采集于 05 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。

14 843

订阅者

-724 小时

-277 天

-15230 天

2 173

帖子浏览量

无数据24 小时

无数据48 小时

14.63%

参与率

无数据

每日帖子数

Ads index

beta

帖子存档

14 843

You don't need to spend several $𝟭𝟬𝟬𝟬𝘀 to learn Data Science.❌ Stanford University, Harvard University & Massachusetts Institute of Technology is providing free courses.💥 Here's 8 free Courses that'll teach you better than the paid ones: 1. CS50’s Introduction to Artificial Intelligence with Python (Harvard) https://lnkd.in/d9CkkfGK 2. Data Science: Machine Learning (Harvard) https://lnkd.in/dQ7zkCv9 3. Artificial Intelligence (MIT) https://lnkd.in/dG5BCPen 4. Introduction to Computational Thinking and Data Science (MIT) https://lnkd.in/ddm5Ckk9 5. Machine Learning (MIT) https://lnkd.in/dJEjStCw 6. Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (MIT) https://lnkd.in/dkpyt6qr 7. Statistical Learning (Stanford) https://lnkd.in/dymn4hbD 8. Mining Massive Data Sets (Stanford) 📍https://lnkd.in/d2uf-FkB

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Pycharm keyboard shortcuts @deeplearning_ai

14 843

Repost from Artificial Intelligence && Deep Learning

Harvard CS109A #DataScience course materials — huge collection free & open! 1. Lecture notes 2. R code, #Python notebooks 3. Lab material 4. Advanced sections and more ... https://harvard-iacs.github.io/2019-CS109A/pages/materials.html It will be really useful for you invite your friends 🌹🌹 @Deeplearning_ai

14 843

Repost from Artificial Intelligence && Deep Learning

CVPR 2022 Open Access... Open Access versions, provided by the Computer Vision Foundation. Except for the watermark, they are identical to the accepted versions; the final published version of the proceedings is available on IEEE Xplore. https://openaccess.thecvf.com/CVPR2022?day=2022-06-21 invite your friends 🌹🌹 @Deeplearning_ai

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PaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction. Paper: https://arxiv.org/abs/2007.03858 Project Page: http://www.liuyebin.com/pamir/pamir.html Source code: https://github.com/ZhengZerong/PaMIR invite your friends 🌹🌹 @MachineLearning_Programming

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Free courses and quests in Coding & Web3.0 with cash rewards worth of 30 000USD 👇 https://bit.ly/3FpfqHr Use code: "machinelearning0" when signing up to get access and start learning 🙌

14 843

Repost from Artificial Intelligence && Deep Learning

Accelerate AI training in a few lines of code without changing the training setup. https://github.com/nebuly-ai/nebulgym invite your friends 🌹🌹 @Deeplearning_ai

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Lightweight Python library for adding real-time object tracking to any detector. https://github.com/tryolabs/norfair @deeplearning_ai

14 843

Free programming courses & quests with cash rewards for your time in one place 📚💰 StackUp [app.stackup.dev] is a platform made for devs where you can learn about programming languages like Rust, Python, Go, Solidity, and other technologies, and earn while learning. Rewards are given after successful completion of quests. With new campaigns every week, you can earn from a pool of over 10,000USD in cash rewards each month! To sign up use code "machinelearning0" and gain early access: https://bit.ly/3FpfqHr Hope it helps you to level up in the community and master different tools essential to your career as a developer! 🚀 @deeplearning_ai

14 843

Repost from Artificial Intelligence && Deep Learning

At DAIR.AI we heart open education. We are excited to share some of the best and most recent machine learning courses available on YouTube. Hot topics: 1. Stanford CS229: Machine Learning 2. Practical Deep Learning for Coders (2020) 3. Deep Unsupervised Learning 4. Advanced NLP 5. Deep Learning for Computer Vision 6. Deep Reinforcement Learning 7. Full Stack Deep Learning 8. Self-Driving Cars (Tübingen) https://github.com/dair-ai/ML-YouTube-Courses invite your friends 🌹🌹 @Deeplearning_ai

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If you are learning Machine Learning and wants to make end-to-end Machine Learning real-world projects, then this website can be a great resource for you. It has project bundle(Dragon bundle) comprising more than 550+ real-world projects in ML, DL, DS, CV and NLP and PYTHON3. More details are showned in the image above. - Each project comes with required Dataset, complete source code(Python3) and documentation along with explanatory comments so that even beginner can understand. - Life time access and projects are getting updates each month. You can download the list of complete 550+ projects from our website. Visit our website for more information. Website Link: https://tensorprojects.com/dragonbundle

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🛸UFO: segmentation @140+ FPS🛸 👉Unified Transformer Framework for Co-Segmentation, Co-Saliency & Salient Object Detection. All in one! 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: ✅Unified framework for co-segmentation ✅Co-segmentation, co-saliency, saliency ✅Block for long-range dependencies ✅Able to reach for 140 FPS in inference ✅The new SOTA on multiple datasets ✅Source code under MIT License [PAPER] [Source Code]

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EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks https://youtu.be/cXxEwI7QbKg invite your friends 🌹🌹 @Deeplearning_ai

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Generative Occupancy Fields for 3D Surface-Aware Image Synthesis (NeurIPS 2021) Project Page Paper Github

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A lightweight vision library for performing large scale object detection & instance segmentation Github: https://github.com/obss/sahi Paper: https://arxiv.org/abs/2202.06934v1 Kaggle notebook: https://www.kaggle.com/remekkinas/sahi-slicing-aided-hyper-inference-yv5-and-yx Dataset: https://paperswithcode.com/dataset/xview invite your friends 🌹🌹 @Deeplearning_ai

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PyAutoGUI is a cross-platform GUI automation Python module for human beings. Used to programmatically control the mouse & keyboard. https://github.com/YashIndane/Call-of-Duty- invite your friends 🌹🌹 @Deeplearning_ai

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9 Best Tools to Debug Python for 2022 https://www.ittsystems.com/best-tools-to-debug-python/ invite your friends 🌹🌹 @Deeplearning_ai .

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Want to jump ahead in artificial intelligence and/or digital pathology? Excited to share that after 2+ years of development PathML 2.0 is out! An open source #computational #pathology software library created by Dana-Farber Cancer Institute/Harvard Medical School and Weill Cornell Medicine led by Massimo Loda to lower the barrier to entry to #digitalpathology and #artificialintelligence , and streamline all #imageanalysis or #deeplearning workflows. ⭐ Code: https://github.com/Dana-Farber-AIOS/pathml