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Uniform Manifold Approximation and Projection
Created
2017-07-02
1,857 commits to master branch, last one 16 days ago
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
python
analysis
atac-seq
cell-cycle
clustering
single-cell
awesome-list
rna-seq-data
cell-clusters
bioinformatics
scrna-seq-data
gene-expression
cell-populations
data-integration
analysis-pipeline
data-visualization
rna-seq-experiments
cell-differentiation
dimensionality-reduction
gene-expression-profiles
Created
2016-06-29
791 commits to master branch, last one 6 days ago
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Created
2017-07-17
502 commits to master branch, last one 2 years ago
A curated list of community detection research papers with implementations.
Created
2018-10-10
481 commits to master branch, last one 8 months ago
Text Classification Algorithms: A Survey
deep-learning
random-forest
decision-trees
text-processing
rocchio-algorithm
boosting-algorithms
deep-belief-network
deep-neural-network
logistic-regression
text-classification
k-nearest-neighbours
nlp-machine-learning
naive-bayes-classifier
document-classification
support-vector-machines
dimensionality-reduction
conditional-random-fields
recurrent-neural-networks
convolutional-neural-networks
hierarchical-attention-networks
Created
2018-07-06
230 commits to master branch, last one about a month ago
Extensible, parallel implementations of t-SNE
Created
2018-06-08
696 commits to master branch, last one 27 days ago
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
Created
2013-07-03
612 commits to master branch, last one 20 days ago
A repository of pretty cool datasets that I collected for network science and machine learning research.
Created
2019-04-07
335 commits to master branch, last one 8 months ago
Minimum-distortion embedding with PyTorch
Created
2020-11-29
159 commits to main branch, last one about a year ago
Machine Learning notebooks for refreshing concepts.
python
deep-learning
data-processing
neural-networks
machine-learning
model-evaluation
regression-models
clustering-methods
classification-trees
data-science-notebook
deep-learning-tutorial
reinforcement-learning
python-machine-learning
deep-learning-algorithms
dimensionality-reduction
machine-learning-tutorials
machine-learning-algorithms
natural-language-processing
Created
2017-10-30
117 commits to master branch, last one 6 years ago
PHATE (Potential of Heat-diffusion for Affinity-based Transition Embedding) is a tool for visualizing high dimensional data.
Created
2017-04-05
730 commits to main branch, last one about a month ago
JavaScript implementation of UMAP
Created
2019-02-20
115 commits to main branch, last one 5 months ago
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
Created
2014-03-12
197 commits to master branch, last one 5 months ago
Dimensionality reduction in very large datasets using Siamese Networks
Created
2018-08-13
584 commits to master branch, last one about a month ago
An R package implementing the UMAP dimensionality reduction method.
Created
2018-06-12
976 commits to master branch, last one 2 months ago
Functional Data Analysis Python package
Created
2017-07-03
3,911 commits to develop branch, last one 27 days ago
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
Created
2014-08-08
80 commits to master branch, last one 2 years ago
Mathematical tools (interpolation, dimensionality reduction, optimization, etc.) written in C++11 with Eigen
Created
2018-04-14
596 commits to master branch, last one 2 years ago
Deep Learning sample programs using PyTorch in C++
Created
2020-03-23
366 commits to master branch, last one about a year ago
MATLAB code for dimensionality reduction, feature extraction, fault detection, and fault diagnosis using Kernel Principal Component Analysis (KPCA).
Created
2018-11-09
105 commits to master branch, last one 2 years ago
Hierarchical Uniform Manifold Approximation and Projection
Created
2020-11-20
248 commits to master branch, last one about a month ago
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
pandas
plotly
python
python3
turorial
tensorflow
data-science
data-analysis
hacktoberfest
hyperspectral
classification
remote-sensing
machine-learning
satellite-images
matplotlib-pyplot
satellite-imagery
hyperspectral-images
indian-pines-dataset
dimensionality-reduction
hyperspectral-image-classification
Created
2019-12-13
60 commits to master branch, last one 3 years ago
Single cell trajectory detection
Created
2017-11-22
273 commits to master branch, last one a day ago
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
Created
2018-10-16
94 commits to master branch, last one 3 years ago
t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go
Created
2018-09-03
33 commits to master branch, last one 2 years ago
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Created
2018-11-22
76 commits to master branch, last one about a year ago
A New, Interactive Approach to Learning Data Science
Created
2019-10-14
656 commits to master branch, last one 3 years ago
Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of behav...
Created
2019-07-12
310 commits to master branch, last one about a year ago
Python library for Self-Organizing Maps
Created
2017-05-12
202 commits to main branch, last one about a year ago
Self-Supervised Noise Embeddings (Self-SNE)
Created
2020-07-18
346 commits to main branch, last one 20 days ago