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ai

Notes on and implementations of classic and modern AI problems.

arrow

Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.

birth-data

CDC Vital Statistics birth datasets

comdetect

Community detection algorithm implementations.

compilers

lex/yacc code for cs540 (compilers).

coursera

Store Coursera coursework.

ctr-prediction

Predict CTR for the Criteo-sponsored Kaggle competition.

daft-builder

Wrapper library on daft that provides a builder interface for rendering probabilistic graphical models (PGMs).

datasciencecoursera

Repository for Hopkins Coursera Data Science courses.

dblp

Parse the dblp data into a structured format for experimentation.

elasticsearch-playground

Scripts to build a test index with test data.

ersgen

educational recommender systems data generation and analysis

fastfm

fastFM: A Library for Factorization Machines

gensim

Topic Modelling for Humans

gi

Sequitur and RePair grammar induction algorithms implementation

gmu-dia2

GMU research related to the DIA2 Project.

grammarviz2_src

GrammarViz 2.0 public release:

gym

A toolkit for developing and comparing reinforcement learning algorithms.

intuitive-ml

ipython-tikzmagic

IPython magics for generating figures with TikZ

kafka-connect-elasticsearch

kaggle_microsoft_malware

code for kaggle competition Microsoft malware classification

keep-a-changelog

If you build software, keep a changelog.

limp

Lisp IDE

linkcomm

Programs to identify link communities in complex networks

luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

mapreduce

mixture_models

Implementations of various supervised and unsupervised mixture models

motif-classify

Classify time series data using motifs discovered from Sequitur processing of SAX discretized data.

ner-experiments

Experiments with Named Entity Recognition (NER) for learning purposes.