Hoang Cuong

Good-Papers. I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

awesome-text-summarization. Text Summarization

FeatureHashing. Feature Hashing

GPs. Sampling from Gaussian Processes

DeepGP. Python

NeuralNetworks. My own effort to implement Feed Forward Neural Network, Recurrent Neural Networks and Convolutional Neural Networks

Bayesian-Neural-Networks. Based on Zhusuan

nlp-util. Random utilities for NLP

pytorch-truecaser. A simple neural truecaser written in pytorch and allennlp.

Slice-Sampler. My own effort to implement the classic SLICE SAMPLING algorithm proposed by Neal 2003