just interesting

  • https://github.com/geomstats/geomstats
  • https://github.com/geomstats/applications // see brain connectome
  • https://github.com/spacetimeengineer/spacetimeengine // different spacetime solutions

system design

  • https://github.com/partho-maple/system-design-primer

java

  • https://github.com/eishay/jvm-serializers // jvm serializers performance tests
  • https://github.com/williamfiset/Algorithms // Excellent lectures on algorithms - see for graphs
  • https://github.com/jveverka/java-11-examples // a whole bunch of POCs - elastic, kafka, block-chain, …

frameworks

  • https://github.com/aparo/elasticsearch-7.x-cookbook
  • log-structured merge tree - https://github.com/indeedeng/lsmtree
  • See CoverTree https://github.com/haifengl/smile

coursera

  • https://github.com/SHANK885/Tensorflow-in-Practice-Specialization // and some others here
  • https://github.com/enggen/Deep-Learning-Coursera/
  • https://github.com/enggen/Deep-Learning-deeplearning.ai

on ai books

  • https://github.com/danielegrattarola/spektral // Graph NN with Keras and Tensorflow 2
  • https://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras
  • https://github.com/PacktPublishing/Deep-Reinforcement-Learning-Hands-On
  • https://github.com/ageron/handson-ml2
  • https://github.com/aapatel09/handson-unsupervised-learning
  • https://github.com/deeplearning4j/oreilly-book-dl4j-examples
  • https://github.com/davidADSP/GDL_code // generative deep learning

other

  • https://github.com/orlandpm/Math-for-Programmers