Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
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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
C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings
- variant-calling
- genomics
- vcf-manipulation
- genotyping
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.
Batched NVIDIA MotionBricks: generate the motion of hundreds of characters in one model call.
- character-animation
- crowd-simulation
- motion-generation
- motionbricks
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
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
Small size matrix handling module with a few linear algebra operations specifically for MicroPython (Python3)
A implementation of Shor's algorithm written in Python calling Q# for the quantum part
- qsharp
- python3
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
- microscopy
- image-processing
- segmentation
- biology
An effort to consolidate the needs and plans of individuals and organizations using Common Lisp to meet their numerical and scientific computing needs.