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Name: Mia Wan
Type: User
Company: Texas A&M University
Bio: ML@Neeva
Location: Texas
Name: Mia Wan
Type: User
Company: Texas A&M University
Bio: ML@Neeva
Location: Texas
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
A curated list of awesome Fairness in AI resources
Some network simulations for the Coronavirus
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | ζε°δΈ»AI
A Fairness-aware AutoML System
Ruby Introduction Assignment for Agile Development using Ruby on Rails
A collection of machine learning examples and tutorials.
CSCE 606 Project for Medical Persistance System
[ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Project 2: Multi-Agent Pacman - now with ghosts, heuristics including minimax, expectimax, & evaluation.
This is my new project
Some simulations of network models, with focus on preferential attachment
A file-based quote bot written in Python
[ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.
TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
RottenPotatoes app skeleton for saasbook/hw-rails-intro
Statsmodels: statistical modeling and econometrics in Python
The objective of this project is to scrape a corpus of news articles from a set of web pages, pre-process the corpus, and then to apply unsupervised clustering algorithms to explore and summarise the contents of the corpus. Part 1. Text Data Scraping This part of the project should be implemented as a Python script 1. Identify the URLs for all news articles listed on the website: http://mlg.ucd.ie/modules/COMP41680/news/index.html 2. Retrieve all web pages corresponding to these article URLs. 3. From the web pages, extract the main body text containing the content of each news article. Save the body of each article as plain text. Part 2. Corpus Exploration Tasks to be completed in your IPython notebook: 1. Load the text corpus generated in Part 1. Apply any appropriate pre-processing steps and construct a document-term matrix representation of the corpus. 2. Summarise the overall corpus by identifying the most characteristic terms and phrases in the corpus. 3. Apply two alternative clustering algorithms of your choice to the document-term matrix to produce clusters of related documents. This might require applying each algorithm several times with different parameter values. 4. For each clustering generated in Step 3, summarise the contents of the clusters. Based on your summary, suggest a topic/theme for each cluster.
TODS: An Automated Time-series Outlier Detection System
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
Relationship visualization for Wuhan Coronavirus (2019-nCov) cases in Hong Kong by NetworkX
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.