jamesmcinerney's Stars
facebookresearch/fastText
Library for fast text representation and classification.
bokeh/bokeh
Interactive Data Visualization in the browser, from Python
VowpalWabbit/vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
librosa/librosa
Python library for audio and music analysis
twitter/summingbird
Streaming MapReduce with Scalding and Storm
SheffieldML/GPy
Gaussian processes framework in python
john-kurkowski/tldextract
Accurately separates a URL’s subdomain, domain, and public suffix, using the Public Suffix List (PSL).
JasperSnoek/spearmint
Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
geffy/tffm
TensorFlow implementation of an arbitrary order Factorization Machine
factorie/factorie
FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.
dawenl/vae_cf
Variational autoencoders for collaborative filtering
criteo-research/reco-gym
Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising
y0ast/Variational-Autoencoder
Implementation of a Variational Auto-Encoder in Theano
google/ml-fairness-gym
hayeah/playing-cards-assets
Playing Cards Image Assets (SVG+PNG)
clinicalml/structuredinference
Structured Inference Networks for Nonlinear State Space Models
ziyuw/rembo
Bayesian optimization in high-dimensions via random embedding.
HIPS/pgmult
Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation
cosmir/openmic-annotator
Annotation framework for annotating data for OpenMIC
krka/java8-future-guide
An attempt to document equivalent features in java 8 futures and guava futures
adith387/slates_semisynth_expts
Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.
tdomhan/pyblr
Bayesian Linear Regression for python
judyboon/BASS
A Bayesian group factor model with structured sparsity
jamesmcinerney/np-hmm
General Bayesian non-parametric hidden Markov model
candidate-selection-tutorial-sigir2017/candidate-selection-tutorial
SIGIR 2017 Candidate Selection Tutorial (http://sigir.org/sigir2017/program/tutorials/#candidate)
wOOL/IBP
Indian Buffet Process; Variational Inference
rishabhmisra/Scalable-Variational-Bayesian-Factorization-Machine
Scalable Variational Bayesian inference algorithm for FM is developed which converges faster than the existing state-of-the-art MCMC based inference algorithm. Additionally, a stochastic variational Bayesian algorithm for FM is introduced for large scale learning which utilizes SGD.
slinderman/gslrandom
Cython wrapper for GSL random number generators
blei-lab/expo-mf
Exposure Matrix Factorization: modeling user exposure in recommendation
slhansen/tffm
TensorFlow implementation of an arbitrary order Factorization Machine