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Name: Steven S Kim
Type: User
Name: Steven S Kim
Type: User
Resources for Advancing into Analytics: From Excel to R and Python by George Mount (O'Reilly Media, 2021)
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Approaching (Almost) Any Machine Learning Problem
A curated list of awesome network analysis resources.
Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"
Notes from books and other interesting things that I've read.
Stanford CoreNLP: A Java suite of core NLP tools.
<Do it! 쉽게 배우는 R 텍스트 마이닝> 저장소
Official implementation of the paper "Estimation of continuous valence and arousal levels from faces in naturalistic conditions", Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos and Maja Pantic, Nature Machine Intelligence, 2021
A Benchmark Study on Machine Learning Methods for Fake News Detection
The fastai book, published as Jupyter Notebooks
Recommender System Framework
A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)
A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Pyramid Mask Text Detector designed by SenseTime Video Intelligence Research team.
PyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)
System for scraping video game review data from Steam and analyzing the data in terms of NLP features and other attributes, such as hours played by reviewer, number of times the review was marked helpful, etc. The end result is to enable machine learning experiments with the collected data/features.
Minimal tutorial on making a simple website with GitHub Pages
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Example R scripts and data for "Practical Data Science with R" by Nina Zumel and John Mount (Manning Publications)
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.