NeuroData Active PR List

[jshinm]

The following is the active* list of current PR in progress (last updated 12/22/2021)

*Activity since 09/01/2021

Lead	Repository	PR Name	PR Url
adam2392	scikit-learn	[TEST PR] Adding oblique trees (i.e. Forest-RC) to cythonized tree module	https://github.com//neurodata/scikit-learn/pull/11
adam2392	scikit-learn	[TEST PR] Oblique forests	https://github.com//neurodata/scikit-learn/pull/10
KhelmholtzR	ProgLearn	Add Streaming Function	https://github.com//neurodata/ProgLearn/pull/526
parthgvora	ProgLearn	UF enhanced parameters to match GRF	https://github.com//neurodata/ProgLearn/pull/453
adam2392	scikit-learn	Tom/grid to graph 26	https://github.com//neurodata/scikit-learn/pull/8
LizaNaydanova	ProgLearn	Added neural network scene segmentation tutorial.	https://github.com//neurodata/ProgLearn/pull/527
KevinWang905	ProgLearn	unsupervised contrastive loss	https://github.com//neurodata/ProgLearn/pull/522
Dante-Basile	ProgLearn	Supervised Contrastive Loss	https://github.com//neurodata/ProgLearn/pull/518
waleeattia	ProgLearn	Exploring task unaware vs aware BTE and generalization error experiment	https://github.com//neurodata/ProgLearn/pull/517
kfenggg	ProgLearn	Add notebook & functions for adversarial domain adaptation	https://github.com//neurodata/ProgLearn/pull/464
tliu68	ProgLearn	Adding KNNClassificationDecider	https://github.com//neurodata/ProgLearn/pull/463
latasianguy	ProgLearn	Draft of SPORF	https://github.com//neurodata/ProgLearn/pull/454
jzheng17	df-dn-paper	Implementation of Hyperparameter Tuning for the VIsion and Audition Folders	https://github.com//neurodata/df-dn-paper/pull/64
jzheng17	df-dn-paper	hyperparamter tuning	https://github.com//neurodata/df-dn-paper/pull/62
sampan501	hyppo	update MGC to use scipy as reference implementation in tests	https://github.com//neurodata/hyppo/pull/231
sampan501	hyppo	Added kernel goodness of fit	https://github.com//neurodata/hyppo/pull/206
nhahn7	SDTF	ENH Prepare SynF for Gaussian Simulation experiments (updated code)	https://github.com//neurodata/SDTF/pull/42
tathey1	brainlit	Update config.yml	https://github.com//neurodata/brainlit/pull/328
tathey1	brainlit	Renaming lddmm registration files	https://github.com//neurodata/brainlit/pull/320
dallen02	brainlit	time sleep	https://github.com//neurodata/brainlit/pull/295
tathey1	brainlit	get angle method	https://github.com//neurodata/brainlit/pull/241
mlemyco	brainlit	multiple radius	https://github.com//neurodata/brainlit/pull/114
Laknath1996	kdg	Label Noise Experiments for KDN	https://github.com//neurodata/kdg/pull/23
dependabot	talks	Bump node-sass from 3.3.3 to 4.14.1 in /big-data-science	https://github.com//neurodata/talks/pull/28
dlee0156	bilateral-connectome	Adding test comparing triangle subgraph counts	https://github.com//neurodata/bilateral-connectome/pull/11
Lawreros	m2g	update func output tree	https://github.com//neurodata/m2g/pull/408
Lawreros	m2g	[WIP] Bunch of bug fixes and features	https://github.com//neurodata/m2g/pull/398
kellymarchisio	goat	Fixes #1 - fix outlier handling in qap/qapot	https://github.com//neurodata/goat/pull/2
JBaijot	neuroparc	Add files via upload	https://github.com//neurodata/neuroparc/pull/40
jovo	neuroparc	updated readme trivially	https://github.com//neurodata/neuroparc/pull/24
adam2392	SPORF	[WIP] An implementation of discontiguous sampling of the SRerf variant; we call it MTORF(?)	https://github.com//neurodata/SPORF/pull/353
adam2392	SPORF	Bic fix urerf	https://github.com//neurodata/SPORF/pull/350
megh1241	SPORF	Add Cython USPORF and outlier detection example	https://github.com//neurodata/SPORF/pull/349
MaiRajborirug	SPORF	update maintainer and update version to 2.0.5	https://github.com//neurodata/SPORF/pull/347
MrAE	SPORF	Several suggestions on the distance metrics of SPORF that may boost the performance on geodesic learning	https://github.com//neurodata/SPORF/pull/346
ShumingXu	SPORF	update python to dev v2.0.5.1 for clarity	https://github.com//neurodata/SPORF/pull/342
MrAE	SPORF	[WIP] Add two feature sampling methods for graphs	https://github.com//neurodata/SPORF/pull/337
j1c	SPORF	fix string -> int	https://github.com//neurodata/SPORF/pull/336
dfrancisco1998	notebooks	Simulations from papers for minka ZG comparison	https://github.com//neurodata/notebooks/pull/13
dfrancisco1998	notebooks	Comparing GraphSAGE to CASC	https://github.com//neurodata/notebooks/pull/12
zeou1	notebooks	ASE/LSE vs SVD/Spectral Comparison	https://github.com//neurodata/notebooks/pull/11
kareef928	notebooks	Add experiments on spherical clusterings of DCSBM embeddings	https://github.com//neurodata/notebooks/pull/10
PerifanosPrometheus	notebooks	ZG vs minka comparison using OpenMl-cc2018	https://github.com//neurodata/notebooks/pull/8
dfrancisco1998	notebooks	clean up homepage, remove about	https://github.com//neurodata/notebooks/pull/4

[jovo]

@jshinm the priority functionalities are listed below, along with the POC (point of contact) for them:

stuff into sklearn

• UF (@rflperry)
• binning (@PSSF23)
• streaming (@PSSF23)
• oblique (@adam2392)
• multivariate feature selection (@sampan501)
• AutoGMM (@tliu68)

LDDMM into skimage (@vikramc1, @DevinCrowley)

@asaadeldin11 did i miss anything?

[jovo]

@jshinm please make a schedule with each of the POC's to complete the PRs.
of course, the timeline must be somewhat flexible due to its dependence on the core developers.
but our turn around time is not dependent on them, and that is the main factor that we are concerned about.

[jshinm]

@jovo Thank you for this comprehensive list. I will go ahead and get in touch with each of the POC and start making concrete plans and rough timelines for each project. Up to this point, we've made some progress on oblique tree where I ran a benchmark for @adam2392 and he'll use that to push forward the next round of PR into sklearn. I will follow up with Adam and the rest of POCs when I get back on the 5th