Hoang Cuong's repositories
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
pytorch-truecaser
A simple neural truecaser written in pytorch and allennlp.
adventures-in-ml-code
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
AmpliGraph
Python library for Representation Learning on Knowledge Graphs
Biological_Learning
Example of "biological" learning for MNIST
contrastive-predictive-coding
Keras implementation of Representation Learning with Contrastive Predictive Coding
graph_comb_opt
Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"
keras-penntree
Character-Aware Neural Language Models. A keras-based implementation
mmi-tagger
Maximal Mutual Information (MMI) Tagger
mnist_by_zip
Compression algorithms (like the well-known zip file compression) can be used for machine learning purposes, specifically for classifying hand-written digits (MNIST)
morph-net
Fast & Simple Resource-Constrained Learning of Deep Network Structure
OntoNotes-5.0-NER-BIO
A BIO formatted Named Entity Recognition data set extracted from the OntoNotes 5.0 release.
pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
reddit-norm-violations
Hybrid Approaches to Detect Comments Violating Macro Norms on Reddit
sparse_attention
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
summarizing_summarization
We summarize the summarization papers presented at ACL 2019
tensorflow2-generative-models
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
UnsupervisedDomainAdaptation
Unsupervised Domain Adaptation