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zakiindrasukma's Projects

algo_ds_notes icon algo_ds_notes

It is a repository that is a collection of algorithms and data structures with implementation in various languages.

angular-styleguide icon angular-styleguide

Angular Style Guide: A starting point for Angular development teams to provide consistency through good practices.

awesome icon awesome

:sunglasses: Curated list of awesome lists

awesome-deepbio icon awesome-deepbio

A curated list of awesome deep learning applications in the field of computational biology

awesome-fp-js icon awesome-fp-js

:sunglasses: A curated list of awesome functional programming stuff in js

awesome-rnn icon awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

awesome-scala icon awesome-scala

A community driven list of useful Scala libraries, frameworks and software.

awesomo icon awesomo

The really big list of really interesting open source projects in ะก, C++, Clojure, Common/Emacs Lisp, Elixir, Erlang, Golang, Haskell, JavaScript, Lua, OCaml, Python, R, Ruby, Rust, Scala and etc.

basset icon basset

Convolutional neural network analysis for predicting DNA sequence activity.

belajar-react icon belajar-react

Kumpulan berkas latihan-latihan pengembangan berbasis React.

books icon books

Books about Nodejs, Angular2, Agile, Clean Code, Docker, Golang, Microservices, REST, TDD, BDD, and Startups.

cadl icon cadl

Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

cheatsheets-ai icon cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

cnn icon cnn

C++ neural network library

convnet icon convnet

Convolutional Neural Networks for Matlab, including Invariang Backpropagation algorithm (IBP). Has versions for GPU and CPU, written on CUDA, C++ and Matlab. All versions work identically. The GPU version uses kernels from Alex Krizhevsky's library 'cuda-convnet2'.

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

crfasrnn icon crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

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