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This ipython notebook is my self learning effort, where I have performed analysis of dermatology dataset from UCI site. Here, I explore PCA and few classifier algorithms.
Markdown and LaTeX online editor - create text for web with equations and diagrams
Implements a simple user-based collaborative filtering recommender system for predicting the ratings of an item using the data given. The prediction would be done using k nearest neighbors and Pearson Correlation. Finally using the similarity of the k nearest neighbors, predict the ratings of the new item for the given user
Variational autoencoders for collaborative filtering
Datasets, Transforms and Models specific to Computer Vision
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
R package for voronoi treemaps with added interactivity by shiny
:memo: Подборка ресурсов по машинному обучению
HTML5 based online tool to extract numerical data from plot images.
Weka Package containing multiple ordinal data classifiers
my blog
Working with and analyzing Wikipedia Data
An elegant probability model for the joint distribution of wind speed and direction.
Examples and tutorials for CodaLab Worksheets.
:exclamation: This is a read-only mirror of the CRAN R package repository. wSVM — Weighted SVM with boosting algorithm for improving accuracy
Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
keywords - XGboost, Smote, Hyperparameter tuning, Python
Project repo for Ziff Deep Learning Internship 2017 - Deep learning model performance improvement strategies
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
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.