Cammie King (ckingdev)

ckingdev

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Company:Consultant

Location:Prineville, OR

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Cammie King's starred repositories

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

Language:PythonLicense:CC0-1.0Stargazers:4721Issues:216Issues:10

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Language:PythonLicense:MITStargazers:4195Issues:68Issues:558

percol

adds flavor of interactive filtering to the traditional pipe concept of UNIX shell

awesome-community-detection

A curated list of community detection research papers with implementations.

Language:PythonLicense:CC0-1.0Stargazers:2298Issues:109Issues:8

scikit-multiflow

A machine learning package for streaming data in Python. The other ancestor of River.

Language:PythonLicense:BSD-3-ClauseStargazers:751Issues:27Issues:190

anndata

Annotated data.

Language:PythonLicense:BSD-3-ClauseStargazers:539Issues:14Issues:692

static-frame

Immutable and statically-typeable DataFrames with runtime type and data validation

Language:PythonLicense:NOASSERTIONStargazers:416Issues:11Issues:642

active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

Language:PythonLicense:MITStargazers:257Issues:4Issues:7

SMART

Smarter Manual Annotation for Resource-constrained collection of Training data

Language:PythonLicense:MITStargazers:215Issues:21Issues:29

autosklearn-zeroconf

autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset with known outcomes (labels) and it returns a list of predicted outcomes for your new data. It even estimates the precision for you! The engine is tuning massively parallel ensemble of machine learning pipelines for best precision/recall.

Language:PythonLicense:BSD-3-ClauseStargazers:172Issues:32Issues:11

HERec

Source code for TKDE 2018 "Heterogeneous information network embedding for recommendation"

pyemd

Accurate, efficient Earth Mover's Distance for Python (and MATLAB).

Language:CLicense:BSD-3-ClauseStargazers:160Issues:3Issues:9

hate-speech-dataset

Hate speech dataset from Stormfront forum manually labelled at sentence level.

bbloom

go/golang: fast bit set Bloom filter

Language:GoLicense:NOASSERTIONStargazers:132Issues:6Issues:5

torchmf

matrix factorization in PyTorch

noisy_label

Code for the CVPR15 paper "Learning from Massive Noisy Labeled Data for Image Classification"

proxmin

Proximal optimization in pure python

Language:PythonLicense:MITStargazers:108Issues:8Issues:11

reef

Automatically labeling training data

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:105Issues:20Issues:7

ml-annotate

Use ML-Annotate to label data for machine learning purposes

Language:PythonLicense:MITStargazers:103Issues:5Issues:1

cyordereddict

Cython implementation of OrderedDict

Language:PythonLicense:MITStargazers:103Issues:5Issues:6

BPR_MPR

BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking

Language:PythonLicense:Apache-2.0Stargazers:82Issues:10Issues:6

EMU-webApp

The EMU-webApp is an online and offline web application for labeling, visualizing and correcting speech and derived speech data.

Language:TypeScriptLicense:MITStargazers:51Issues:10Issues:293

UnsupervisedHypernymy

Data and code for the experiments in: "Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection". Vered Shwartz, Enrico Santus and Dominik Schlechtweg. EACL 2017.

Language:PythonLicense:NOASSERTIONStargazers:51Issues:7Issues:5

path2vec

Learning to represent shortest paths and other graph-based measures of node similarities with graph embeddings

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:32Issues:17Issues:28

graphx-labelpropagation

An implementation of label propagation from the paper "Learning from labeled and unlabeled data with label propagation"

Language:ScalaLicense:MITStargazers:20Issues:0Issues:0

SSWL

The Matlab code of the SSWL method proposed in our AAAI18 paper "Learning from Semi-Supervised Weak-Label Data"

Language:MATLABStargazers:14Issues:1Issues:0

supersense-data-twitter

Tweets annotated with coarse-grained sense labels (supersenses)

Stargazers:13Issues:0Issues:0

Legendre-decomposition

Legendre decomposition for tensors

Language:C++License:MITStargazers:12Issues:2Issues:0

newton-balancing

Matrix balancing algorithms

Language:C++License:GPL-3.0Stargazers:8Issues:0Issues:0