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awesome-elixir icon awesome-elixir

A curated list of amazingly awesome Elixir and Erlang libraries, resources and shiny things. Updates:

awesome-flutter icon awesome-flutter

An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.

awesome-ipfs icon awesome-ipfs

Useful resources for using IPFS and building things on top of it

bloc icon bloc

A predictable state management library that helps implement the BLoC design pattern

blockchainbean2 icon blockchainbean2

This code pattern shows how to model a supply-chain network using the IBM Blockchain Platform and is based on a collaboration with Brooklyn Roasting Company. The story, along with the supply-chain documents that were used to model this network, can be found at: https://www.ibm.com/blockchainbean

buddysearch icon buddysearch

Android Clean Architecture example using MVP, Rx: RxJava, RxAndroid, Dagger 2, Data Binding, Retrolambda, Firebase Database, Firebase Auth, Firebase Messaging (FCM), Realm

colornet icon colornet

Neural Network to colorize grayscale images

cpsc540machinelearning icon cpsc540machinelearning

Solutions to the assignments of the CPSC 540 Machine Learning course (2013) taught by Nando de Freitas

customer-loyalty-program icon customer-loyalty-program

# WARNING: This repository is no longer maintained :warning: This pattern focuses on older technology (e.g. Hyperledger Fabric APIs prior to Fabric 1.4). Therefore, there is no support for this pattern and it will be archived on May 1, 2019. You are welcome to use up to that date, but we recommend that you begin working with the updated release found at https://developer.ibm.com/patterns/customer-loyalty-program-with-iks-saas-v2-fabric/.

dashclock icon dashclock

Automatically exported from code.google.com/p/dashclock

dashclock.api icon dashclock.api

Automatically exported from code.google.com/p/dashclock.api

data-science-ipython-notebooks icon data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

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