vincentchen95 Goto Github PK
Name: Vincent C
Type: User
Bio: Focus on Machine Learning, Data Analysis, CV and NLP.
Name: Vincent C
Type: User
Bio: Focus on Machine Learning, Data Analysis, CV and NLP.
Hello guys, all these are my solutions for algorithm questions. My solutions are written by JAVA or Python. I will be happy to discuss with you guys!
Hello guys, government working report is related with everyone's life. I want to use NLP methods to analyze it and acquire useful information.
Hello guys, in this project, I will show you how to use Naive Bayes to classify spam email. The accuracy could be 98%! If you have any question, please let me know. I am happy to discuss with you guys.
Hello guys, recently, I am trying to analyze the visual appeal of design, so I design an algorithm which used HSV range and Kmeans method. This algorithm achieved a good result.
This repository will talk about some basic knowledge of Computer Vision, like convolution, sober, edge detection and so on. All codes are C++.
I developed a content-based image retrieval system that retrieves database images based on the similarity between their regions and those of a query image.
Hello
Hello guys, this project aims to using Faster RCNN to detect food items. Finally, this model achieved over 83% accuracy for 19 kinds of food.
Hello guys
Hello guys.
In this project, I implement a panorama image stitcher. This requires the implementation of a Harris corner detector, RANSAC alignment and an image stitcher.
Hello guys, this project aims to comparing particle filter and extend Kalman filter.
Hello
Hello guys, recently, I am very interested in the promising field, which is self driving car. Therefore, I am taking some class and doing some projects in this field. I am glad to share with you guys.
A self driving car course of University of Toronto, on the topic of state estimation and localization
In this repository, I will show you guys how to use regular method to analyze sentiment text. Meanwhile, I will also compare it with RNN model.
Part of speech tagging is the process of determining the syntactic category of a word from the words in its surrounding context. It is often used to help disambiguate natural language phrases because it can be done quickly with high accuracy. Tagging can be used for many NLP Tasks like determining correct pronunciation during speech synthesis (for example, dis-count as a noun vs dis-count as a verb), for information retrieval, and for word sense disambiguation. Hidden Markov models have been able to achieve >96% tag accuracy with larger tagsets on realistic text corpora. Hidden Markov models have also been used for speech recognition and speech generation, machine translation, gene recognition for bioinformatics, and human gesture recognition for computer vision, and more.
Hello guys!
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.