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approximatequeries

autodp

autodp: A flexible and easy-to-use package for differential privacy

awesome-anomaly-detection

A complete list of papers on anomaly detection.

awful-ai

😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

bayesian-convolutional-sparse-coding

Bayesian Convolutional Sparse Coding

coms30007

continual_learning_papers

Relevant papers in Continual Learning

dcase2018_baseline

DCASE 2018 Baseline system

dcase2019_task4

dcase_util

A collection of utilities for Detection and Classification of Acoustic Scenes and Events

differential-privacy-bayesian-optimization

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

distcal

Code for the ICML 2019 paper: Distribution Calibration for Regression

dpp-vfx

Experiments for the first very fast and exact DPP sampler (Dereziński M, Calandriello D, Valko M. Exact sampling of determinantal point processes with sublinear time preprocessing. NeurIPS 2019)

ecg200_train

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

emukit

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

flask-live-charts

Live charting demo using flask and highcharts

google-line-chart

Google Line Chart API with real time - updates simulation

gpy

Gaussian processes framework in python

gunnar_raetsch_benchmark_datasets

Gunnar Raetsch's Benchmark Datasets

hello-world

Hello World in all possible programmnig languages

hl7-processor

Application to parse HL7 data into json, with outputs to various databases/formats (csv, mongodb, pdf output)

hl7_processor

huginn

Build agents that monitor and act on your behalf. Your agents are standing by!

hyperstream

HyperStream

infer-hmm

C# model definition for a hidden Markov model using Infer.NET. This code makes it easy to run approximate Bayesian inference over both the model parameters and states of a hidden Markov model.

libsvm_uci_adult_dataset

merlin

Responsive One Page Template

milan

Milan is a Scala API and runtime infrastructure for building data-oriented systems, built on top of Apache Flink.

mpkfda

Matching Pursuit Kernel Fisher Discriminant Analysis