Repository Index

CUDA Templates and Python DSLs for High-Performance Linear Algebra

• cuda
• deep-learning
• deep-learning-library
• cpp

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript

• optimization
• nonlinear
• derivatives
• code-generation

Deep probabilistic analysis of single-cell and spatial omics data

• scrna-seq
• variational-bayes
• variational-autoencoder
• cite-seq

Public/backup repository of the GROMACS molecular simulation toolkit. Please do not mine the metadata blindly; we use https://gitlab.com/gromacs/gromacs for code review and issue tracking.

Chebfun: numerical computing with functions.

Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support

• embedded-optimization
• nonconvex
• model-predictive-control
• rust-library

Reference mapping for single-cell genomics

• single-cell
• deep-learning
• rna-seq-analysis
• data-integration

The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.

• cwt
• matlab
• cpp
• optimization

Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.

• matlab
• rust
• jit-compiler
• linear-algebra

A Network Integration Approach for Drug-Target Interaction Prediction

A Python interface to access neuroanatomical atlases

• neuroscience
• python
• microscopy
• registration

The official NFFT library repository

• nfft
• fftw
• fourier-transform
• c

Fork of https://gitlab.mpcdf.mpg.de/mtr/pocketfft to simplify external contributions

TUM Roborace Team Software Stack - Vehicle Simulation

Automated 3D brain registration with support for multiple species and atlases.

• registration
• atlases
• brain
• neuroscience

Accurate and efficient spot detection for microscopy data

The repository host gives no description.

scPair: Boosting single cell multimodal analysis by leveraging single cell atlases and implicit feature selection

DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.

Histology Topography Cytometry Analysis Toolbox