Bookmarks tagged [computer-science]
https://www.reddit.com/r/explainlikeimfive/comments/1fxgvv/eli5_what_is_big_o_notation/
19.3m members in the explainlikeimfive community. Explain Like I'm Five is the best forum and archive on the internet for layperson-friendly …
- tags: programming, computer-science, bigonotation
https://flaviocopes.com/complexity-big-o-notation/
Let’s discuss algorithms complexity, and in particular how we measure it in the context of algorithms. Different algorithms, given the same problem to solve and the same inputs, take a different time ...
- 📆 published on: 2021-04-19
- tags: programming, bigonotation, computer-science
https://github.com/bulutyazilim/awesome-datascience#readme
📝 An awesome Data Science repository to learn and apply for real world problems. - bulutyazilim/awesome-datascience
https://github.com/siboehm/awesome-learn-datascience#readme
📈 Curated list of resources to help you get started with Data Science - siboehm/awesome-learn-datascience
https://github.com/josephmisiti/awesome-machine-learning#readme
A curated list of awesome Machine Learning frameworks, libraries and software. - josephmisiti/awesome-machine-learning
https://github.com/ujjwalkarn/Machine-Learning-Tutorials#readme
machine learning and deep learning tutorials, articles and other resources - ujjwalkarn/Machine-Learning-Tutorials
https://github.com/arbox/machine-learning-with-ruby#readme
Curated list: Resources for machine learning in Ruby - arbox/machine-learning-with-ruby
https://github.com/likedan/Awesome-CoreML-Models#readme
Largest list of models for Core ML (for iOS 11+). Contribute to likedan/Awesome-CoreML-Models development by creating an account on GitHub.
https://github.com/h2oai/awesome-h2o#readme
A curated list of research, applications and projects built using H2O Machine Learning - h2oai/awesome-h2o
https://github.com/edobashira/speech-language-processing#readme
A curated list of speech and natural language processing resources - edobashira/speech-language-processing
- tags: awesome-list, computer-science, nlp
- source code
https://github.com/dav009/awesome-spanish-nlp#readme
Curated list of Linguistic Resources for doing NLP & CL on Spanish - dav009/awesome-spanish-nlp
- tags: awesome-list, computer-science, nlp
- source code
https://github.com/arbox/nlp-with-ruby#readme
Curated List: Practical Natural Language Processing done in Ruby - arbox/nlp-with-ruby
- tags: awesome-list, computer-science, nlp, ruby
- source code
https://github.com/seriousmac/awesome-qa#readme
😎 A curated list of the Question Answering (QA). Contribute to seriousmac/awesome-qa development by creating an account on GitHub.
- tags: awesome-list, computer-science, nlp
- source code
https://github.com/theimpossibleastronaut/awesome-linguistics#readme
A curated list of anything remotely related to linguistics - theimpossibleastronaut/awesome-linguistics
https://github.com/sobolevn/awesome-cryptography#readme
A curated list of cryptography resources and links. - sobolevn/awesome-cryptography
https://github.com/pFarb/awesome-crypto-papers#readme
A curated list of cryptography papers, articles, tutorials and howtos. - pFarb/awesome-crypto-papers
https://github.com/jbhuang0604/awesome-computer-vision#readme
A curated list of awesome computer vision resources - jbhuang0604/awesome-computer-vision
https://github.com/ChristosChristofidis/awesome-deep-learning#readme
A curated list of awesome Deep Learning tutorials, projects and communities. - ChristosChristofidis/awesome-deep-learning
https://github.com/jtoy/awesome-tensorflow#readme
TensorFlow - A curated list of dedicated resources http://tensorflow.org - jtoy/awesome-tensorflow
https://github.com/terryum/awesome-deep-learning-papers#readme
The most cited deep learning papers. Contribute to terryum/awesome-deep-learning-papers development by creating an account on GitHub.
https://github.com/guillaume-chevalier/awesome-deep-learning-resources#readme
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier - guillaume-cheva...
https://github.com/kjw0612/awesome-deep-vision#readme
A curated list of deep learning resources for computer vision - kjw0612/awesome-deep-vision
https://github.com/ossu/computer-science#readme
🎓 Path to a free self-taught education in Computer Science! - ossu/computer-science
https://github.com/lucasviola/awesome-functional-programming#readme
👽 A curated list of functional programming resources such as blog posts, communities, discussion topics, wikis and more. - lucasviola/awesome-functional-programming
https://github.com/dspinellis/awesome-msr#readme
A curated repository of software engineering repository mining data sets - dspinellis/awesome-msr
https://github.com/mre/awesome-static-analysis#readme
Static analysis tools for all programming languages - mre/awesome-static-analysis
https://github.com/harpribot/awesome-information-retrieval#readme
A curated list of awesome information retrieval resources - harpribot/awesome-information-retrieval
https://github.com/prakhar1989/awesome-courses#readme
📚 List of awesome university courses for learning Computer Science! - prakhar1989/awesome-courses
- tags: course, awesome-list, computer-science
https://en.wikipedia.org/wiki/CAP_theorem
In theoretical computer science, the CAP theorem, also named Brewer's theorem after computer scientist Eric Brewer, states that it is impossible for a distributed data store to simultaneously provide ...
Technology Definitions and Cheat Sheets from WhatIs.com - The Tech Dictionary and IT Encyclopedia
- tags: computer-science, glossary
http://lya.fciencias.unam.mx/jloa/publicaciones/teoria.pdf
(PDF)
http://lya.fciencias.unam.mx/jloa/publicaciones/automatasyLenguajes.pdf
(PDF)
https://www.edx.org/course/introduction-computer-science-harvardx-cs50x
This is CS50x, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming exper...
- tags: computer-science, learn-to-code