eamid

Research Scientist at Google Brain Mountain View

@google

Pinned Repositories

alpha-SNE
MATLAB code for alpha-SNE, alpha-SSNE and alpha-HSSNE
Language:MATLAB0 1 10
examples
A comparison of the dimensionality reduction results using t-SNE, UMAP, PCA, and TriMap
Language:Jupyter Notebook30 1 25
google-research
Google AI Research
Language:Python0 0 00
implicit
An Implicit Form of Krasulina’s k-PCA Update without the Orthonormality Constraint Code
Language:Python0 1 00
mvte
MATLAB implementation of the Multiview Triplet Embedding (MVTE) algorithm
Language:MATLAB7 3 01
scanpy
Single-Cell Analysis in Python. Scales to >1M cells.
Language:Python0 1 00
sklr
MATLAB implementation of the semi-supervised kernel learning using relative constraints (SKLR) algorithm
Language:MATLAB8 2 04
tete
t-Exponential Triplet Embedding Algorithm
Language:MATLAB0 0 00
trimap
TriMap: Large-scale Dimensionality Reduction Using Triplets
Language:Python306 9 2021
google-research
Google Research
Language:Jupyter Notebook34.4k 753 1.3k7.9k

eamid's Repositories

eamid/trimap
TriMap: Large-scale Dimensionality Reduction Using Triplets
Language:Python306 9 2021
eamid/examples
A comparison of the dimensionality reduction results using t-SNE, UMAP, PCA, and TriMap
Language:Jupyter Notebook30 1 25
eamid/sklr
MATLAB implementation of the semi-supervised kernel learning using relative constraints (SKLR) algorithm
Language:MATLAB8 2 04
eamid/mvte
MATLAB implementation of the Multiview Triplet Embedding (MVTE) algorithm
Language:MATLAB7 3 01
eamid/alpha-SNE
MATLAB code for alpha-SNE, alpha-SSNE and alpha-HSSNE
Language:MATLAB0 1 10
eamid/google-research
Google AI Research
Language:Python0 0 00
eamid/implicit
An Implicit Form of Krasulina’s k-PCA Update without the Orthonormality Constraint Code
Language:Python0 1 00
eamid/scanpy
Single-Cell Analysis in Python. Scales to >1M cells.
Language:Python0 1 00
eamid/tete
t-Exponential Triplet Embedding Algorithm
Language:MATLAB0 0 00