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Public material for CS109
https://harvard-iacs.github.io/2019-CS109A/
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
For the course Big Data Analytics
A Search Engine for handle Boolean queries
Simple boolean retrieval model implementation with Python 3
R scripts that browse the results of LDA
Working repository for Causal Tree and extensions
Course Files for Complete Python 3 Bootcamp Course on Udemy
Assignment code for CS3245 Information Retrieval, NUS AY16/17
Supplementary materials for DeepCPCFG
Dynamic Topic Model (based upon code released by David Blei at http://www.cs.princeton.edu/~blei/topicmodeling.html)
Dynamic Topic Modelling Tutorial Files
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Data and code for Gillingham et al. (2020). Joule. "The Short-run and Long-run Effects of Covid-19 on Energy and the Environment"
Extracting text from the 10-K filings on SEC's EDGAR
Simple java library to filter the stopping,stemming words from input data or file and link
A complete automated financial news crawler built on the top of Scrapy framework.
Topic Modelling for Humans
Python scripts for retrieving CSV data from the Google Ngram Viewer and plotting it in XKCD style. The Python script for retrieving ngram data was originally modified from the script at www.culturomics.org.
a tool for crawl Google search results
Generalized Random Forests
Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.
This implements hierarchical latent Dirichlet allocation, a topic model that finds a hierarchy of topics. The structure of the hierarchy is determined by the data.
Information Extraction in Python
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
This repository contains solution codes for the assignments given in the course Information Retrieval(CS60092) at IIT Kharagpur
Using Python and Open Source for Collaborative Data Exploration
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.