Neural Network topic
Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
Bayesian-Active-Learning-Pytorch
Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Bayesian-Active-Learning/))
iOS_ML
List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.
Machine_Learning
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Manual-Pratico-Deep-Learning
Repositório para o meu curso na Udemy
nn.rb
A toy Neural Network in Ruby
Improved-Dynamic-Memory-Networks-DMN-plus
Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual...
fastrtext
R wrapper for fastText
api_key_detector
Neural Network Based, Automatic API Key Detector
backprop
Heterogeneous automatic differentiation ("backpropagation") in Haskell
dynamic-training-bench
Simplify the training and tuning of Tensorflow models