Github Top Repositories

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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.

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📈 Аналитический обзор Telegram-канала Github Top Repositories

Канал Github Top Repositories (@githubre) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 13 330 подписчиков, занимая 15 272 место в категории Образование и 32 126 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 13 330 подписчиков.

Согласно последним данным от 15 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 413, а за последние 24 часа — 8, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 1.07%. В первые 24 часа после публикации контент обычно набирает 0.79% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 143 просмотров. В течение первых суток публикация набирает 105 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 1.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как repository, fork, programming, statistic, description.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.”

Благодаря высокой частоте обновлений (последние данные получены 16 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.

13 330

Подписчики

+824 часа

+927 дней

+41330 день

143

Просмотры поста

~ 10524 часа

~ 12048 часов

1.07%

Коэффициент вовлеченности

~ 42

Постов в день

Ads index

beta

Архив постов

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🔥 Trending Repository: awesome-rl-for-cybersecurity 📝 Description: A curated list of resources dedicated to reinforcement learning applied to cyber security. 🔗 Repository URL: https://github.com/Limmen/awesome-rl-for-cybersecurity 📖 Readme: https://github.com/Limmen/awesome-rl-for-cybersecurity#readme 📊 Statistics: 🌟 Stars: 909 stars 👀 Watchers: 32 🍴 Forks: 132 forks 💻 Programming Languages: Not available 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceN

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🔥 Trending Repository: 90DaysOfCyberSecurity 📝 Description: This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md 🔗 Repository URL: https://github.com/farhanashrafdev/90DaysOfCyberSecurity 📖 Readme: https://github.com/farhanashrafdev/90DaysOfCyberSecurity#readme 📊 Statistics: 🌟 Stars: 10.7K stars 👀 Watchers: 192 🍴 Forks: 1.2K forks 💻 Programming Languages: Not available 🏷️ Related Topics:

#cybersecurity #learn #hacktoberfest #ethical_hacking #communityexchange

================================== 🧠 By: https://t.me/DataScienceN

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🔥 Trending Repository: mlhub123 📝 Description: 机器学习&深度学习网站资源汇总（Machine Learning Resources） 🔗 Repository URL: https://github.com/howie6879/mlhub123 🌐 Website: https://www.mlhub123.com/ 📖 Readme: https://github.com/howie6879/mlhub123#readme 📊 Statistics: 🌟 Stars: 1.1K stars 👀 Watchers: 30 🍴 Forks: 238 forks 💻 Programming Languages: Not available 🏷️ Related Topics:

#machine_learning #deep_learning

================================== 🧠 By: https://t.me/DataScienceN

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🔥 Trending Repository: awesome-knowledge-graph 📝 Description: A curated list of Knowledge Graph related learning materials, databases, tools and other resources 🔗 Repository URL: https://github.com/totogo/awesome-knowledge-graph 📖 Readme: https://github.com/totogo/awesome-knowledge-graph#readme 📊 Statistics: 🌟 Stars: 1.7K stars 👀 Watchers: 41 🍴 Forks: 147 forks 💻 Programming Languages: Not available 🏷️ Related Topics:

#nlp #graph #knowledge_graph #graph_database #awesome_list

================================== 🧠 By: https://t.me/DataScienceN

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🔥 Trending Repository: programming-math-science 📝 Description: This is a list of links to different freely available learning resources about computer programming, math, and science. 🔗 Repository URL: https://github.com/bobeff/programming-math-science 📖 Readme: https://github.com/bobeff/programming-math-science#readme 📊 Statistics: 🌟 Stars: 1.8K stars 👀 Watchers: 26 🍴 Forks: 129 forks 💻 Programming Languages: Not available 🏷️ Related Topics:

#science #programming #math #awesome_list

================================== 🧠 By: https://t.me/DataScienceN

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🔥 Trending Repository: Awesome-Meta-Learning 📝 Description: A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources. 🔗 Repository URL: https://github.com/sudharsan13296/Awesome-Meta-Learning 📖 Readme: https://github.com/sudharsan13296/Awesome-Meta-Learning#readme 📊 Statistics: 🌟 Stars: 1.5K stars 👀 Watchers: 68 🍴 Forks: 298 forks 💻 Programming Languages: Not available 🏷️ Related Topics:

#one_shot_learning #zero_shot_learning #metalearning #few_shot_learning #deep_meta_learning #meta_reinforcement

================================== 🧠 By: https://t.me/DataScienceN

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🔥 Trending Repository: Machine_Learning_Resources 📝 Description: :fish::fish::fish: 机器学习面试复习资源 🔗 Repository URL: https://github.com/wangyuGithub01/Machine_Learning_Resources 📖 Readme: https://github.com/wangyuGithub01/Machine_Learning_Resources#readme 📊 Statistics: 🌟 Stars: 1.2K stars 👀 Watchers: 10 🍴 Forks: 179 forks 💻 Programming Languages: Not available 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceN

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🔥 Trending Repository: awesome-deeplearning-resources 📝 Description: Deep Learning and deep reinforcement learning research papers and some codes 🔗 Repository URL: https://github.com/endymecy/awesome-deeplearning-resources 📖 Readme: https://github.com/endymecy/awesome-deeplearning-resources#readme 📊 Statistics: 🌟 Stars: 2.9K stars 👀 Watchers: 221 🍴 Forks: 666 forks 💻 Programming Languages: Not available 🏷️ Related Topics:

#nlp #video #reinforcement_learning #deep_learning #neural_network #code #paper #corpus #modelzoo

================================== 🧠 By: https://t.me/DataScienceN

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🔥 Trending Repository: awesome-recursion-schemes 📝 Description: Resources for learning and using recursion schemes. 🔗 Repository URL: https://github.com/passy/awesome-recursion-schemes 📖 Readme: https://github.com/passy/awesome-recursion-schemes#readme 📊 Statistics: 🌟 Stars: 1.3K stars 👀 Watchers: 44 🍴 Forks: 56 forks 💻 Programming Languages: Not available 🏷️ Related Topics:

#awesome #recursion_schemes #catamorphisms

================================== 🧠 By: https://t.me/DataScienceN

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🔥 Trending Repository: Machine-Learning-Tutorials 📝 Description: machine learning and deep learning tutorials, articles and other resources 🔗 Repository URL: https://github.com/ujjwalkarn/Machine-Learning-Tutorials 🌐 Website: http://ujjwalkarn.github.io/Machine-Learning-Tutorials 📖 Readme: https://github.com/ujjwalkarn/Machine-Learning-Tutorials#readme 📊 Statistics: 🌟 Stars: 16.6K stars 👀 Watchers: 797 🍴 Forks: 3.9K forks 💻 Programming Languages: Not available 🏷️ Related Topics:

#list #machine_learning #awesome #deep_neural_networks #deep_learning #neural_network #neural_networks #awesome_list #machinelearning #deeplearning #deep_learning_tutorial

================================== 🧠 By: https://t.me/DataScienceN

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🔥 Trending Repository: awesome-learning 📝 Description: A curated list for DevOps learning resources. Join the slack channel to discuss more. 🔗 Repository URL: https://github.com/Lets-DevOps/awesome-learning 📖 Readme: https://github.com/Lets-DevOps/awesome-learning#readme 📊 Statistics: 🌟 Stars: 920 stars 👀 Watchers: 43 🍴 Forks: 310 forks 💻 Programming Languages: Not available 🏷️ Related Topics:

#infrastructure #learning #devops

================================== 🧠 By: https://t.me/DataScienceN

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🔥 Trending Repository: awesome-jetpack-compose-learning-resources 📝 Description: 👓 A continuously updated list of learning Jetpack Compose for Android apps. 🔗 Repository URL: https://github.com/androiddevnotes/awesome-jetpack-compose-learning-resources 📖 Readme: https://github.com/androiddevnotes/awesome-jetpack-compose-learning-resources#readme 📊 Statistics: 🌟 Stars: 1.4K stars 👀 Watchers: 41 🍴 Forks: 140 forks 💻 Programming Languages: Kotlin 🏷️ Related Topics:

#android #kotlin #awesome #mvvm #android_architecture #compose #beginner_friendly #android_apps #hacktoberfest #coroutines_android #mvvm_android #android_jetpack #first_issue #jetpack_android #learn_android #jetpack_compose #hacktoberfest2020 #android_compose #awesome_android

================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: SemanticSegmentation_DL 📝 Description: Resources of semantic segmantation based on Deep Learning model 🔗 Repository URL: https://github.com/tangzhenyu/SemanticSegmentation_DL 📖 Readme: https://github.com/tangzhenyu/SemanticSegmentation_DL#readme 📊 Statistics: 🌟 Stars: 1.1K stars 👀 Watchers: 77 🍴 Forks: 315 forks 💻 Programming Languages: Jupyter Notebook - Python - Shell - sed 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: awesome-transformer-nlp 📝 Description: A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning. 🔗 Repository URL: https://github.com/cedrickchee/awesome-transformer-nlp 📖 Readme: https://github.com/cedrickchee/awesome-transformer-nlp#readme 📊 Statistics: 🌟 Stars: 1.1K stars 👀 Watchers: 41 🍴 Forks: 131 forks 💻 Programming Languages: Not available 🏷️ Related Topics:

#nlp #natural_language_processing #awesome #transformer #neural_networks #awesome_list #llama #transfer_learning #language_model #attention_mechanism #bert #gpt_2 #xlnet #pre_trained_language_models #gpt_3 #gpt_4 #chatgpt

================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: Deep-Learning-Roadmap 📝 Description: :satellite: Organized Resources for Deep Learning Researchers and Developers 🔗 Repository URL: https://github.com/astorfi/Deep-Learning-Roadmap 🌐 Website: https://machinelearningmindset.com/deep-learning-resources/ 📖 Readme: https://github.com/astorfi/Deep-Learning-Roadmap#readme 📊 Statistics: 🌟 Stars: 3.2K stars 👀 Watchers: 144 🍴 Forks: 314 forks 💻 Programming Languages: Python 🏷️ Related Topics:

#reinforcement_learning #deep_learning

================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: awesome-javascript-learning 📝 Description: A tiny list limited to the best JavaScript Learning Resources 🔗 Repository URL: https://github.com/micromata/awesome-javascript-learning 📖 Readme: https://github.com/micromata/awesome-javascript-learning#readme 📊 Statistics: 🌟 Stars: 5.6K stars 👀 Watchers: 143 🍴 Forks: 610 forks 💻 Programming Languages: Not available 🏷️ Related Topics:

#javascript #learning #awesome #resources #awesome_list #javascript_learning

================================== 🧠 By: https://t.me/DataScienceM

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🔥 Trending Repository: Self-learning-Computer-Science 📝 Description: the resources I use to learn computer science in my spare time 🔗 Repository URL: https://github.com/PKUFlyingPig/Self-learning-Computer-Science 📖 Readme: https://github.com/PKUFlyingPig/Self-learning-Computer-Science#readme 📊 Statistics: 🌟 Stars: 4.3K stars 👀 Watchers: 54 🍴 Forks: 387 forks 💻 Programming Languages: Not available 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

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We offer you daily Udemy courses for free and without any fees. https://t.me/DataScienceC

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We offer you daily Udemy courses for free and without any fees. https://t.me/DataScienceC

13 331

We offer you daily Udemy courses for free and without any fees. https://t.me/DataScienceC