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Uniform Manifold Approximation and Projection
Created
2017-07-02
1,865 commits to master branch, last one 22 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
793 commits to master branch, last one 16 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 9 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 2 months ago
Extensible, parallel implementations of t-SNE
Created
2018-06-08
696 commits to master branch, last one about a month ago
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
Created
2013-07-03
613 commits to master branch, last one 12 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 9 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 2 months ago
JavaScript implementation of UMAP
Created
2019-02-20
115 commits to main branch, last one 6 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 6 months ago
Dimensionality reduction in very large datasets using Siamese Networks
Created
2018-08-13
584 commits to master branch, last one 2 months ago
An R package implementing the UMAP dimensionality reduction method.
Created
2018-06-12
978 commits to master branch, last one 3 days ago
Functional Data Analysis Python package
Created
2017-07-03
3,911 commits to develop branch, last one about a month 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 2 months ago
Single cell trajectory detection
Created
2017-11-22
286 commits to master branch, last one 20 days 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
A New, Interactive Approach to Learning Data Science
Created
2019-10-14
656 commits to master branch, last one 3 years 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
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
348 commits to main branch, last one 19 days ago