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<br> <br>
</h1> </h1>
<br>
<a target='_blank' rel='nofollow' href='https://app.codesponsor.io/link/tmkVF4Qm7RNE8e9RVwnim6gU/sindresorhus/awesome'>
<img alt='Sponsor' width='888' height='68' src='https://app.codesponsor.io/embed/tmkVF4Qm7RNE8e9RVwnim6gU/sindresorhus/awesome.svg' />
</a>
<br> <br>
<br> <br>
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<b>✨ Prelaunching the <a href="https://awesomeweekly.co">Awesome Weekly</a> newsletter! ✨</b> <b>✨ Prelaunching the <a href="https://awesomeweekly.co">Awesome Weekly</a> newsletter! ✨</b>
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<br> <br>
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--- ---
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- [University Courses](https://github.com/prakhar1989/awesome-courses) - [University Courses](https://github.com/prakhar1989/awesome-courses)
- [Data Science](https://github.com/bulutyazilim/awesome-datascience) - [Data Science](https://github.com/bulutyazilim/awesome-datascience)
- [Tutorials](https://github.com/siboehm/awesome-learn-datascience)
- [Machine Learning](https://github.com/josephmisiti/awesome-machine-learning) - [Machine Learning](https://github.com/josephmisiti/awesome-machine-learning)
- [Tutorials](https://github.com/ujjwalkarn/Machine-Learning-Tutorials) - [Tutorials](https://github.com/ujjwalkarn/Machine-Learning-Tutorials)
- [ML with Ruby](https://github.com/arbox/machine-learning-with-ruby) - Learning, implementing, and applying Machine Learning using Ruby. - [ML with Ruby](https://github.com/arbox/machine-learning-with-ruby) - Learning, implementing, and applying Machine Learning using Ruby.
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- [Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning) - Neural networks. - [Deep Learning](https://github.com/ChristosChristofidis/awesome-deep-learning) - Neural networks.
- [TensorFlow](https://github.com/jtoy/awesome-tensorflow) - Library for machine intelligence. - [TensorFlow](https://github.com/jtoy/awesome-tensorflow) - Library for machine intelligence.
- [Papers](https://github.com/terryum/awesome-deep-learning-papers) - The most cited deep learning papers. - [Papers](https://github.com/terryum/awesome-deep-learning-papers) - The most cited deep learning papers.
- [Education](https://github.com/guillaume-chevalier/awesome-deep-learning-resources)
- [Deep Vision](https://github.com/kjw0612/awesome-deep-vision) - [Deep Vision](https://github.com/kjw0612/awesome-deep-vision)
- [Open Source Society University](https://github.com/open-source-society/computer-science) - [Open Source Society University](https://github.com/open-source-society/computer-science)
- [Functional Programming](https://github.com/lucasviola/awesome-functional-programming) - [Functional Programming](https://github.com/lucasviola/awesome-functional-programming)
@ -372,6 +382,7 @@
- [TinkerPop](https://github.com/mohataher/awesome-tinkerpop) - Graph computing framework. - [TinkerPop](https://github.com/mohataher/awesome-tinkerpop) - Graph computing framework.
- [PostgreSQL](https://github.com/dhamaniasad/awesome-postgres) - Object-relational database. - [PostgreSQL](https://github.com/dhamaniasad/awesome-postgres) - Object-relational database.
- [CouchDB](https://github.com/quangv/awesome-couchdb) - Document-oriented NoSQL database. - [CouchDB](https://github.com/quangv/awesome-couchdb) - Document-oriented NoSQL database.
- [HBase](https://github.com/rayokota/awesome-hbase) - Distributed, scalable, big data store.
## Media ## Media
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- [Bitcoin](https://github.com/igorbarinov/awesome-bitcoin) - Bitcoin services and tools for software developers. - [Bitcoin](https://github.com/igorbarinov/awesome-bitcoin) - Bitcoin services and tools for software developers.
- [Ripple](https://github.com/vhpoet/awesome-ripple) - Open source distributed settlement network. - [Ripple](https://github.com/vhpoet/awesome-ripple) - Open source distributed settlement network.
- [Non-Financial Blockchain](https://github.com/machinomy/awesome-non-financial-blockchain) - Non-financial blockchain applications. - [Non-Financial Blockchain](https://github.com/machinomy/awesome-non-financial-blockchain) - Non-financial blockchain applications.
- [Mastodon](https://github.com/tleb/awesome-mastodon) - Open source decentralized microblogging network.
## Miscellaneous ## Miscellaneous
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- [Ledger](https://github.com/sfischer13/awesome-ledger) - Double-entry accounting on the command-line. - [Ledger](https://github.com/sfischer13/awesome-ledger) - Double-entry accounting on the command-line.
- [Uncopyright](https://github.com/johnjago/awesome-uncopyright) - Public domain works. - [Uncopyright](https://github.com/johnjago/awesome-uncopyright) - Public domain works.
- [Crypto Currency Tools & Algorithms](https://github.com/kennethreitz/awesome-coins) — Digital currency where encryption is used to regulate the generation of units and verify transfers. - [Crypto Currency Tools & Algorithms](https://github.com/kennethreitz/awesome-coins) — Digital currency where encryption is used to regulate the generation of units and verify transfers.
- [Open Source Supporters](https://github.com/zachflower/awesome-open-source-supporters) - Companies that offer their tools and services for free to open source projects.
- [Design Principles](https://github.com/robinstickel/awesome-design-principles) - Create better and more consistent designs and experiences.
- [Caching](https://github.com/zvaraondrej/awesome-cache) - Storing of a web resources. - [Caching](https://github.com/zvaraondrej/awesome-cache) - Storing of a web resources.