Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
- epigenomics
- pattern-search
- data-visualization
- interactive-machine-learning
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Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Research experiments exploring uncommon quant techniques.
An open-source mathematical tire modelling library
a simple vector library for Lua based on the PVector class from processing
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
An Erlang implementation of the R*-tree spacial data structure
Elixir library implementing a parallel matrix multiplication algorithm and other utilities for working with matrices. Used for benchmarking computationally intensive concurrent code.
An Elixir implementation of the CONREC algorithm for topographic or isochrone maps.
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
SIMD powered simple-math numerical operations on arrays for Common Lisp through CFFI [still experimental]
Adaptive Graph Attention Auto-encoder for Spatial Domain Identification of Spatial Transcriptomics
Efficient and expressive arrayed vector math library with multi-threading and CUDA support in Common Lisp.
A powerful library extending VBA with over 100 functions for math, stats, finance, and data manipulation. It supports matrix operations, and user-defined functions, enhancing automation and analysis within Microsoft Office and LibreOffice environments for data management, financial calculations, an more.
Working with time-dependent networks in Julia
MCP server for spatial transcriptomics analysis through natural language interfaces.
A Julia GraphQL client for seamless integration with a server
Portability Environment for Fortran poor people
Predicting Cell Health with Morphological Profiles
A weather server supporting Campbell Scientific and Davis Instruments stations with lots of data-sharing options
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
3D shape analysis using deep learning
DE-9IM spatial predicate library implemented in Javascript.
A implementation of Shor's algorithm written in Python calling Q# for the quantum part
Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.