ZiglearnRepo for https://ziglearn.org content. Get up to speed with Zig quickly.
Stars: ✭ 135 (+46.74%)
tutorialsAll of the code for my Medium articles
Stars: ✭ 130 (+41.3%)
NotebooksLearn Python for free using open-source notebooks in Hebrew.
Stars: ✭ 877 (+853.26%)
CarmelThe Open Digital Innovation Marketplace
Stars: ✭ 136 (+47.83%)
Sagefy🔭 Learn anything, adapted for you. Free.
Stars: ✭ 80 (-13.04%)
FuturecoderA platform for beginners to learn programming in Python
Stars: ✭ 363 (+294.57%)
OppiaA free, online learning platform to make quality education accessible for all.
Stars: ✭ 4,361 (+4640.22%)
Openedu📚 The Open Source Education Initiative – a repository with resources for 60+ engineering subjects. Let's make education more open and accessible! 🚀✨
Stars: ✭ 156 (+69.57%)
Teaching App Dev SwiftDEPRECATED. Instructor lesson plans that accompany Xcode projects, for guiding in-class experiential learning.
Stars: ✭ 699 (+659.78%)
Processing DocsProcessing reference, examples, tutorials, and website
Stars: ✭ 346 (+276.09%)
Dive Into Machine LearningDive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.
Stars: ✭ 10,810 (+11650%)
Learn Something Every Day📝 A compilation of everything that I learn; Computer Science, Software Development, Engineering, Math, and Coding in General. Read the rendered results here ->
Stars: ✭ 362 (+293.48%)
Lpic 1 Anki FlashcardsDeck of Anki flashcards for the LPIC-1 (Linux System Administrator) exams 101 and 102 of the Linux Professional Institute (LPI).
Stars: ✭ 90 (-2.17%)
Code Dot OrgThe code powering code.org and studio.code.org
Stars: ✭ 631 (+585.87%)
CoursesAwesome Courses
Stars: ✭ 663 (+620.65%)
Udacity Nanodegrees🎓 List of Udacity Nanodegree programs with links to the free courses in their curricula
Stars: ✭ 5,893 (+6305.43%)
Earthengine Py NotebooksA collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
Stars: ✭ 807 (+777.17%)
HaskellRecursos de Haskell
Stars: ✭ 17 (-81.52%)
LambdaschooldatascienceCompleted assignments and coding challenges from the Lambda School Data Science program.
Stars: ✭ 22 (-76.09%)
Awesome Ai BooksSome awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
Stars: ✭ 855 (+829.35%)
TutorialsCatBoost tutorials repository
Stars: ✭ 563 (+511.96%)
WebsiteThe train engine powering the Coding Train website
Stars: ✭ 5,313 (+5675%)
Amazon Sagemaker ExamplesExample 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Stars: ✭ 6,346 (+6797.83%)
TutorialsIpython notebooks for math and finance tutorials
Stars: ✭ 654 (+610.87%)
Processing AndroidProcessing mode and core library to create Android apps with Processing
Stars: ✭ 643 (+598.91%)
Notebookscode for deep learning courses
Stars: ✭ 522 (+467.39%)
Learn VimLearning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for.
Stars: ✭ 7,221 (+7748.91%)
LearningLearn by building
Stars: ✭ 19 (-79.35%)
SnappSnapp! turns Snap! projects into standalone executables!
Stars: ✭ 26 (-71.74%)
Neuromatch AcademyPreparatory Materials, Self-guided Learning, and Project Management for Neuromatch Academy activities
Stars: ✭ 30 (-67.39%)
Hottbox Tutorials📙 HOTTBOX: Higher Order Tensors ToolBOX. Tutorials
Stars: ✭ 29 (-68.48%)
2016learnpythonPython Teaching, Seminars for 2nd year students of School of Linguistics NRU HSE
Stars: ✭ 32 (-65.22%)
Sklearn ClassificationData Science Notebook on a Classification Task, using sklearn and Tensorflow.
Stars: ✭ 518 (+463.04%)
Golang ExamplesGo(lang) examples - (explain the basics of #golang)
Stars: ✭ 1,070 (+1063.04%)
Mypresentationsthis is my presentaion area .个人演讲稿展示区,主要展示一些平时的个人演讲稿或者心得之类的,
Stars: ✭ 53 (-42.39%)
Storytelling With DataCourse materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
Stars: ✭ 59 (-35.87%)
Tutorials 2017Geophysical Tutorials column for 2017
Stars: ✭ 63 (-31.52%)
Ntds 2017Material for the EPFL master course "A Network Tour of Data Science", edition 2017.
Stars: ✭ 61 (-33.7%)
Deeplearning Nlp ModelsA small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
Stars: ✭ 64 (-30.43%)
C koansC Koans
Stars: ✭ 65 (-29.35%)
Pycon Ua 2018Talk at PyCon UA 2018 (Kharkov, Ukraine)
Stars: ✭ 60 (-34.78%)
Learning Unity Ecs 2A bunch of small Unity projects where I explore and learn Unity's new ECS and Job System. Updated for the new API.
Stars: ✭ 65 (-29.35%)
Fish detectionFish detection using Open Images Dataset and Tensorflow Object Detection
Stars: ✭ 67 (-27.17%)
My Own KindBuild a verifiably conformant kubernetes cluster in containers.
Stars: ✭ 78 (-15.22%)