Statistical Machine Learning Group (stat-ml)

Statistical Machine Learning Group

stat-ml

Geek Repo

StatML group focuses on research in modern statistics and machine learning with particular emphasis on probabilistically inspired approaches

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Statistical Machine Learning Group's repositories

ncvis

Noise-Contrastive Visualization

Language:C++License:MITStargazers:53Issues:6Issues:5

alpaca

Library for active learning and uncertainty estimation in machine learning

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:26Issues:6Issues:2

GeoMLE

This repo contains code for GeoMLE intrinsic dimension estimation algorithm

Language:Jupyter NotebookLicense:MITStargazers:19Issues:6Issues:4

hist-loss

Package with histogram-based losses

Language:PythonLicense:Apache-2.0Stargazers:12Issues:4Issues:1
Language:PythonStargazers:11Issues:2Issues:0

dpp-dropout-uncertainty

Effective uncertainty estimation with decorellation and DPP mask for dropout

Language:Jupyter NotebookStargazers:9Issues:4Issues:0

ncvis-examples

Examples for NCVis Python wrapper.

Language:Jupyter NotebookLicense:MITStargazers:9Issues:3Issues:0
Language:Jupyter NotebookLicense:MITStargazers:8Issues:7Issues:1

large_batch_bald

Scalable Batch Acquisition for Deep Bayesian Active Learning

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:3Issues:4Issues:0
Language:PythonStargazers:0Issues:3Issues:0

mtcnn

MTCNN face detection implementation for TensorFlow, as a PIP package.

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0
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