TorchDR - PyTorch Dimensionality Reduction
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Updated
Jul 16, 2024 - Python
TorchDR - PyTorch Dimensionality Reduction
IU Projects
Compressed belief-state MDPs in Julia compatible with POMDPs.jl
A single cell transcriptomics pipeline for QC, integration and making the data presentable
A python package for chemical space visualization.
Portfolio of data science projects showing my skill range and competencies.
An R package for detecting cell-to-cell variably methylated regions (VMRs) from single-cell bisulfite sequencing leveraging probabilistic models.
Machine Learning Course [ECE 501] - Spring 2023 - University of Tehran - Dr. A. Dehaqani, Dr. Tavassolipour
SHEAP algorithm with MPI implementation for dimensionality reduction on large data sets.
Using FB Ref player data to measure player similarity within positions, using clustering methods
Functions that filter UMAP graphs using domain knowledge.
Mutual Information-based Non-linear Clustering Analysis
Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis
A Snakemake workflow to split, filter, normalize, integrate and select highly variable features of count matrices resulting from experiments with sequencing readout (e.g., RNA-seq, ATAC-seq, ChIP-seq, Methyl-seq, miRNA-seq,...) including diagnostic visualizations.
Single-cell dimensionality reduction toolkit
Single-cell dimensionality reduction evaluation and benchmarking toolkit
A Python library for the fast symbolic approximation of time series
Model-based deep hyperbolic manifold learning for visualizing complex hierarchical structures in single-cell genomics data
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