Recent posts

Collections of Github Repository in Python for Sentiment Analysis Task

1 minute read

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Sentiment Analysis ( SA) is a field of study that analyzes people’s feelings or opinions from reviews or opinions. Sentiment analysis can be seen as a natural language processing task, the task is to develop a system that understands people’s language. I have tried to collect and curate some Python-based Github repository linked to the sentiment analysis task, and the results were listed here. Please enjoy it to support your research about sentiment analysis using Python!

Computational Biology and Bioinformatics Research using Neural Networks Published in Nature

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Computational biology, a biology branch involving the use of computers and computer science to understand and model the structures and processes of life. It involves the use of computational methods (e.g. algorithms) for the representation and simulation of biological systems, as well as for the interpretation of experimental data, often on a very large scale. I have tried to collect and curate some publications that related to the computational biology and bioinformatics using neural networks and the results were listed here. Please enjoy it!

Research about Convolutional Neural Networks Published in ArXiv

17 minute read

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A convolutional neural network (CNN) is most popular deep learning algorithm used for image related applications. I have tried to collect and curate some publications form Arxiv that related to the Convolutional Neural Networks (CNNs), and the results were listed here. Please enjoy it!

Tutorial: How to Create GitHub Pages for Academia

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As academia, having a website to publish portfolios is really important. GitHub Pages will be a perfect solution because it doesn’t cost anything. There is no need to buy a domain and web hosting service. Everything is all in Github. This tutorial will guide you to build your GitHub Pages. Please enjoy it!

Research about Deep Learning Application in Biology Published in bioRxiv

6 minute read

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Deep learning is a set of machine learning algorithms that attempt to model high-level abstractions in input data using multiple non-linear transformations. Some of the major advances in deep learning have been made in speech recognition, computer vision, and natural language processing. Considering that data volume is growing exponentially, deep learning is becoming increasingly important in the predictive analysis of big data. I have tried to collect and curate some publications form bioRxiv that related to the deep learning application in biology, and the results were listed here. Please enjoy it!