DLeX: AI Python

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هوش‌مصنوعی و برنامه‌نویسی توییتر : https://twitter.com/NaviDDariya تا آزادی ایران از جمهوری اسلامی تبهکار، تبلیغات نداریم.

Iran15 654 Technologies & Applications6 311...

📈 Analytical overview of Telegram channel DLeX: AI Python

Channel DLeX: AI Python (@ai_python) in the Farsi language segment is an active participant. Currently, the community unites 21 455 subscribers, ranking 6 311 in the Technologies & Applications category and 15 654 in the Iran region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 21 455 subscribers.

According to the latest data from 18 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -27 over the last 30 days and by -4 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 9.66%. Within the first 24 hours after publication, content typically collects 3.45% reactions from the total number of subscribers.
Post reach: On average, each post receives 2 073 views. Within the first day, a publication typically gains 741 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 8.
Thematic interests: Content is focused on key topics such as مصنوعی, توییتر, ماهواره, داده, فناوری.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“هوش‌مصنوعی و برنامه‌نویسی توییتر : https://twitter.com/NaviDDariya تا آزادی ایران از جمهوری اسلامی تبهکار، تبلیغات نداریم.”

Thanks to the high frequency of updates (latest data received on 19 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

21 455

Subscribers

-424 hours

+147 days

-2730 days

2 073

Post views

~ 74124 hours

~ 91848 hours

9.66%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

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به مناسبت 20 هزار نفر شدنمون (الان یه سری حسود میگن ۱۹.۵ هزار نفریم :/ ) #موزیک "Freedom" by Anthony Hamilton & Elayna Boynton in "Django Unchained" ممنون از حمایتهاتون... @ai_python

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Dilated Neighborhood Attention Transformer natural, flexible and efficient extension to NA that can capture more global context and expand receptive fields exponentially at no additional cost. ⚙️ Github 🗒 Model 📋 Paper 📌 Dataset #مقاله

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A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection a novel Coarse-to-fine Cascaded Evidence-Distillation (CofCED) neural network for explainable fake news detection based on such raw reports, alleviating the dependency on fact-checked ones. ⚙️Github: https://github.com/nicozwy/cofced 📄Paper: https://arxiv.org/abs/2209.14642v1 🗒Dataset: https://paperswithcode.com/dataset/fever #مقاله

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News Summarization and Evaluation in the Era of GPT-3 Corpus of 10K generated summaries from fine-tuned and zero-shot models across 4 standard summarization benchmarks. ⚙️Github: https://github.com/tagoyal/factuality-datasets 📄Paper: https://arxiv.org/abs/2209.12356v1 🗒Dataset: https://paperswithcode.com/dataset/cnn-daily-mail-1 #مقاله

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Data science is not about: • Using the latest tools • Plotting the best graphs • Building the best ML model • Having the fancy title "Data Scientist" Data science is about: • Understanding the business problem • Being curious to understand the data • Getting insights from data to solve the problem • Convincing stakeholders to take action Remember, You're a problem solver, Get the foundation right.

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On Efficient Reinforcement Learning for Full-length Game of StarCraft II In this work, we investigate a set of RL techniques for the full-length game of StarCraft II ⚙️Github: https://github.com/liuruoze/mini-AlphaStar 📄Paper: https://arxiv.org/abs/2209.11553v1 🗒HierNet-SC2: https://github.com/liuruoze/hiernet-sc2 #مقاله

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🤗 SetFit - Efficient Few-shot Learning with Sentence Transformers An efficient and prompt-free framework for few-shot fine-tuning of Sentence Transformers (ST). python -m pip install setfit ⚙️ Github 🗒 Paper 📌 Blog 🦾 Model and Dataset #مقاله

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SetFit - Efficient Few-shot Learning with Sentence Transformers An efficient and prompt-free framework for few-shot fine-tuning of Sentence Transformers (ST). python -m pip install setfit ⚙️ Github 🗒 Paper 📌 Blog 🦾 Model and Dataset #مقاله

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Identity-Aware Hand Mesh Estimation and Personalization from RGB Images A novel personalization pipeline to calibrate the intrinsic shape parameters using only a few unlabeled RGB images of the subject.

conda create -n IdHandMesh python=3.8   
conda activate IdHandMesh

⚙️Github: https://github.com/deyingk/personalizedhandmeshestimation 📄Paper: https://arxiv.org/abs/2209.10840v1 🗒Dataset: https://paperswithcode.com/dataset/dexycb #مقاله

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🔄 VToonify: Controllable High-Resolution Portrait Video Style Transfer


git clone https://github.com/williamyang1991/VToonify.git
cd VToonify

⚙️ Github 💡 Colab 💻 Project 🗒 Paper 🦾 Dataset 🎞 Video #مقاله

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VToonify: Controllable High-Resolution Portrait Video Style Transfer git clone https://github.com/williamyang1991/VToonify.git cd VToonify ⚙️ Github 💡 Colab 💻 Project 🗒 Paper 🦾 Dataset 🎞 Video #مقاله

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Repost from مرکز نیکوکاری نسیم مهربانی

زندگی راستین ما زمانی است كه كاری برای كسی انجام دهیم كه توان جبران محبت مان را نداشته باشد.🙂 🔹با توجه به نزدیک شدن مهر وبازگشایی مدارس مرکز نیکوکاری نسیم مهربانی در نظر دارد برای دانش آموزان نیازمند لباس وپکیج آموزشی تهیه کند .از شما همراهان عزیز تقاضا داریم چون همیشه در کنارمان باشید تا هیچ کودکی حسرت لباس نو بر دل نداشته باشد. 💳6037997950135955 بنام مرکز نیکوکاری نسیم مهربانی

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Repost from N/a

✳️ ‌آموزش رایگان مقدمه ای بر هوش مصنوعی و عامل های هوشمند چکیده — در این آموزش با هدف پر نمودن خلا موجود در درس هوش مصنوعی برای دانشجویان، مخاطبان و داوطلبان آزمون های ورودی، سعی داریم همراه با تشریح مفاهیم مختلف، مثال های متعددی نیز حل کنیم. این آموزش به عنوان یک منبع قوی برای تمامی دانشجویان و داوطلبان برایی تمامی آزمون ها و کنکورهای ارشد قابل استفاده است. ما در این آموزش قصد داریم تا مبحث مقدمه ای بر هوش مصنوعی و عامل های هوشمند را مورد بحث و بررسی قرار دهیم. 💯 مشاهده ویدئوی آموزش 👇👇 🔗 آموزش رایگان مقدمه ای بر هوش مصنوعی — کلیک کنید [+] @FaraDars — فرادرس

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🗣 Robust Speech Recognition via Large-Scale Weak Supervision Whisper is a general-purpose speech recognition model by Open AI. pip install git+https://github.com/openai/whisper.git ⚙️ Github 💡 Colab 💻 Model 🗒 Paper 🦾 Dataset ✴️ HABR #مقاله

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Robust Speech Recognition via Large-Scale Weak Supervision Whisper is a general-purpose speech recognition model by Open AI. pip install git+https://github.com/openai/whisper.git ⚙️ Github 💡 Colab 💻 Model 🗒 Paper 🦾 Dataset ✴️ HABR #مقاله

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🗒 Text2Light: Zero-Shot Text-Driven HDR Panorama Generation Text2Light can generate HDR panoramas in 4K+ resolution using free-form texts solely.

conda env create -f environment.yml
conda activate text2light

⚙️ Github 💡 Project 💻 Model 🗒 Paper 🦾 Tutorial #مقاله

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Text2Light: Zero-Shot Text-Driven HDR Panorama Generation Text2Light can generate HDR panoramas in 4K+ resolution using free-form texts solely. conda env create -f environment.yml conda activate text2light ⚙️ Github 💡 Project 💻 Model 🗒 Paper 🦾 Tutorial #مقاله

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افزونه گوگل کروم، برای فعال نگه داشتن سشن colab https://chrome.google.com/webstore/detail/colab-alive/eookkckfbbgnhdgcbfbicoahejkdoele?hl=en-GB

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Real-time Online Video Detection with Temporal Smoothing Transformers git clone --recursive git@github.com:zhaoyue-zephyrus/TeSTra.git ⚙️ Github 🗒 Paper 🦾 Dataset #مقاله