🔥 Trending Repository: Machine-Learning-for-Cyber-Security

📝 Description: Curated list of tools and resources related to the use of machine learning for cyber security

🔗 Repository URL: https://github.com/wtsxDev/Machine-Learning-for-Cyber-Security

📖 Readme: https://github.com/wtsxDev/Machine-Learning-for-Cyber-Security#readme

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📝 Description: A collection of Bevy assets, plugins, learning resources, and apps made by the community

🔗 Repository URL: https://github.com/bevyengine/bevy-assets

🌐 Website: https://bevyengine.org/assets

📖 Readme: https://github.com/bevyengine/bevy-assets#readme

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📝 Description: Deep Learning for NLP resources

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📖 Readme: https://github.com/andrewt3000/DL4NLP#readme

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📝 Description: Awesome resources for coding and learning: open source projects, websites, books e.g.

🔗 Repository URL: https://github.com/lyfeyaj/awesome-resources

📖 Readme: https://github.com/lyfeyaj/awesome-resources#readme

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🍴 Forks: 451 forks

💻 Programming Languages: HTML - CSS - Shell

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🔥 Trending Repository: awesome-dynamodb

📝 Description: List of resources for learning about modeling, operating, and using Amazon DynamoDB

🔗 Repository URL: https://github.com/alexdebrie/awesome-dynamodb

📖 Readme: https://github.com/alexdebrie/awesome-dynamodb#readme

📊 Statistics:
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🔥 Trending Repository: datascience

📝 Description: This repository is a compilation of free resources for learning Data Science.

🔗 Repository URL: https://github.com/geekywrites/datascience

🌐 Website: https://twitter.com/geekywrites

📖 Readme: https://github.com/geekywrites/datascience#readme

📊 Statistics:
🌟 Stars: 5.1K stars
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🍴 Forks: 529 forks

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📝 Description: 🧮 A collection of resources to learn mathematics for machine learning

🔗 Repository URL: https://github.com/dair-ai/Mathematics-for-ML

📖 Readme: https://github.com/dair-ai/Mathematics-for-ML#readme

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🌟 Stars: 5.3K stars
👀 Watchers: 84
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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

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📝 Description: A curated list of resources for learning about https://www.keycloak.org

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📖 Readme: https://github.com/thomasdarimont/awesome-keycloak#readme

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📝 Description: An opinionated list of resources for learning Haskell

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🍴 Forks: 53 forks

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📝 Description: This repo is a one stop destination to find resources for learning various domains. You can find the roadmap for any domain here.

🔗 Repository URL: https://github.com/CodeChefVIT/resources

🌐 Website: https://codechefvit.github.io/resources/

📖 Readme: https://github.com/CodeChefVIT/resources#readme

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🍴 Forks: 257 forks

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📝 Description: A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.

🔗 Repository URL: https://github.com/hwalsuklee/awesome-deep-text-detection-recognition

📖 Readme: https://github.com/hwalsuklee/awesome-deep-text-detection-recognition#readme

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🍴 Forks: 508 forks

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📝 Description: Awesome Japanese Learning Resources

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📝 Description: Rust Learning Resources

🔗 Repository URL: https://github.com/ImplFerris/LearnRust

🌐 Website: https://implrust.com

📖 Readme: https://github.com/ImplFerris/LearnRust#readme

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📖 Readme: https://github.com/kjw0612/awesome-deep-vision#readme

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📝 Description: A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

🔗 Repository URL: https://github.com/Zymrael/awesome-neural-ode

📖 Readme: https://github.com/Zymrael/awesome-neural-ode#readme

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🌟 Stars: 1.5K stars
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🍴 Forks: 156 forks

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📝 Description: A curated list of resources for Learning with Noisy Labels

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📖 Readme: https://github.com/subeeshvasu/Awesome-Learning-with-Label-Noise#readme

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📝 Description: 🔥 Awesome list of resources on Web Development.

🔗 Repository URL: https://github.com/lauragift21/awesome-learning-resources

📖 Readme: https://github.com/lauragift21/awesome-learning-resources#readme

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🔗 Repository URL: https://github.com/rbhatia46/Data-Science-Interview-Resources

📖 Readme: https://github.com/rbhatia46/Data-Science-Interview-Resources#readme

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📝 Description: A curated list of awesome responsible machine learning resources.

🔗 Repository URL: https://github.com/jphall663/awesome-machine-learning-interpretability

📖 Readme: https://github.com/jphall663/awesome-machine-learning-interpretability#readme

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