17 results found Sort:

haifengl
smile haifengl
1.1k
6.1k
other
268
Statistical Machine Intelligence & Learning Engine
llm nlp wavelet dataframe clustering regression statistics data-science deep-learning interpolation visualization classification linear-algebra computer-vision machine-learning genetic-algorithm manifold-learning computer-algebra-system nearest-neighbor-search multidimensional-scaling
Created 2014-11-20
4,184 commits to master branch, last one a day ago
JustGlowing
minisom JustGlowing
426
1.5k
mit
31
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
som kohonen clustering neural-networks machine-learning manifold-learning outlier-detection self-organizing-map vector-quantization unsupervised-learning dimensionality-reduction
Created 2013-07-03
613 commits to master branch, last one 12 days ago
KrishnaswamyLab
PHATE KrishnaswamyLab
76
482
other
18
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
single-cell manifold-learning data-visualization unsupervised-learning dimensionality-reduction
Created 2017-04-05
730 commits to main branch, last one 2 months ago
theislab
cellrank theislab
47
354
bsd-3-clause
8
CellRank: dynamics from multi-view single-cell data
genetics data-science rna-velocity markov-chains bioinformatics machine-learning manifold-learning single-cell-rna-seq single-cell-genomics cell-fate-transitions trajectory-generation cell-fate-determination fuzzy-clustering-analyses
Created 2020-03-12
2,288 commits to main branch, last one 7 days ago
dpeerlab
Palantir dpeerlab
52
230
gpl-2.0
11
Single cell trajectory detection
scrna-seq markov-chain diffusion-maps differentiation manifold-learning scrna-seq-analysis single-cell-genomics cell-fate-transitions trajectory-generation dimensionality-reduction
Created 2017-11-22
286 commits to master branch, last one 21 days ago
tuanad121
Python-WORLD tuanad121
31
151
other
8
This repository has no description...
vae pitch python pycharm world-vocoder manifold-vocoder manifold-learning variational-autoencoder
Created 2018-04-05
144 commits to master branch, last one 3 years ago
naver
tldr naver
3
125
other
7
TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses
manifold-learning pytorch-implementation dimensionality-reduction unsupervised-machine-learning
Created 2021-10-15
8 commits to main branch, last one 2 years ago
davisidarta
topometry davisidarta
4
95
mit
4
Systematically learn and evaluate manifolds from high-dimensional data
graph clustering single-cell data-science graph-layout scikit-learn visualization laplace-beltrami machine-learning manifold-learning data-visualization hypothesis-generation dimensionality-reduction
Created 2021-04-08
307 commits to master branch, last one about a year ago
wildart
ManifoldLearning.jl wildart
22
92
other
6
A Julia package for manifold learning and nonlinear dimensionality reduction
lle julia isomap diffusion-maps manifold-learning dimensionality-reduction
Created 2014-07-19
81 commits to master branch, last one 2 years ago
gdkrmr
dimRed gdkrmr
15
73
gpl-3.0
7
A Framework for Dimensionality Reduction in R
r framework visualization quality-control manifold-learning high-dimensional-data dimensionality-reduction
Created 2016-10-14
498 commits to master branch, last one about a year ago
TorchDR
TorchDR TorchDR
10
71
bsd-3-clause
4
TorchDR - PyTorch Dimensionality Reduction
python affinity-matrix manifold-learning optimal-transport dimensionality-reduction
Created 2024-02-07
166 commits to main branch, last one 10 days ago
FenghaoZhu
GMML FenghaoZhu
14
53
mit
3
This is the code implementation for the GMML algorithm.
ai gradient beamforming meta-learning manifold-learning reconfigurable-intelligent-surfaces
Created 2023-12-27
21 commits to main branch, last one 22 days ago
kisungyou
Rdimtools kisungyou
10
52
other
3
Dimension Reduction and Estimation Methods
r manifold-learning subspace-learning dimension-reduction dimension-estimation
Created 2017-12-03
245 commits to master branch, last one 2 years ago
rkobler
TSMNet rkobler
9
48
bsd-3-clause
2
Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
bci eeg machine-learning manifold-learning transfer-learning electroencephalography geometric-deep-learning brain-computer-interface unsupervised-domain-adaptation
Created 2022-10-12
3 commits to main branch, last one 2 years ago
ecm200
caltech_birds ecm200
8
43
unknown
2
A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.
cnn pytorch cub-200-2011 caltech-birds deep-learning machine-learning pytorch-tutorial manifold-learning feature-attribution classification-model deep-neural-networks image-classification activation-maximization
Created 2020-06-20
202 commits to master branch, last one 3 years ago
ZJUFanLab
scRank ZJUFanLab
5
43
gpl-3.0
3
A computational method to rank and infer drug-responsive cell population towards in-silico drug perturbation using a target-perturbed gene regulatory network (tpGRN) for single-cell transcriptomic dat...
single-cell gene-network drug-response manifold-learning cell-type-prioritization
Created 2022-10-25
56 commits to main branch, last one 4 months ago
katiana22
GDM-PCE katiana22
5
37
mit
2
Source code of: "Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models".
machine-learning manifold-learning surrogate-modelling encoder-decoder-model polynomial-chaos-expansion uncertainty-quantification
Created 2021-03-22
81 commits to main branch, last one 2 years ago