Official git repository for Biopython (originally converted from CVS)
- python
- bioinformatics
- genomics
- biopython
Repository Index
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Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
formally verified category theory library
- category-theory
- formal-verification
- formal-proofs
a unified framework for modeling chemically reactive systems
- chemical-equilibrium
- chemical-kinetics
- reactive-transport
- chemical-reactions
Trick Simulation Environment. Trick provides a common set of simulation capabilities and utilities to build simulations automatically.
NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.
- r
- neuroanatomy-toolbox
- cran
- neuron
Elixir library implementing a parallel matrix multiplication algorithm and other utilities for working with matrices. Used for benchmarking computationally intensive concurrent code.
Minerva Story is an image viewer that is designed specifically to make it easy for non-expert users to interact with complex tissue images.
- minerva
- microscopy
- ome
- immunofluorescence
Updated infix.cl of the CMU AI repository, originally written by Mark Kantrowitz
- infix-notation
- common-lisp
- mathematics
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
- alphafold3
- docking
- drug-design
- drug-discovery
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
Small size matrix handling module with a few linear algebra operations specifically for MicroPython (Python3)
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
- microscopy
- image-processing
- segmentation
- biology
High performance, zero-allocation, low memory usage (8 bytes), low precision (17 digits), partially compatible with int64 and shopspring Decimal