Repository Index

Layout algorithms for graphs and trees in pure Julia.

• graph-visualization

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

• deep-learning
• deep-neural-networks
• gradient-descent
• automatic-differentiation

Syre workspace.

• science

A platform independent tensor library with autograd for the JVM

• java
• library
• deep-neural-networks

NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions

• computational-biology
• bioinformatics
• graph-convolution
• deep-learning

MAT is library for working with multi-dimensional arrays which supports efficient interfacing to foreign and CUDA code. BLAS and CUBLAS bindings are available.

👩‍💻 Matrix and other math, accelerated by WebGPU and WASM

• webgpu
• deno
• matrix
• machine-learning

MikuAuahDark's Various Lua Libraries

A matrix package for common lisp building on work by Mark Hoemmen, Evan Monroig, Tamas Papp and Rif.

The framework for quantification of neuronal anatomy

• neuroscience
• neuroanatomy-toolbox
• imagej
• imagej2

Elixir library implementing a parallel matrix multiplication algorithm and other utilities for working with matrices. Used for benchmarking computationally intensive concurrent code.

Deep learning model for single-cell inference of multi-omic profiles from a single input modality.

• single-cell
• scrna-seq
• scatac-seq
• deep-neural-networks

Working with time-dependent networks in Julia

• graph
• evolving-graphs
• julia
• network

A Python toolkit for quantum neural networks.

The d-SEAMS C++ core engine

• molecular-dynamics-simulation
• molecular-dynamics
• trajectory-analysis
• lua

ChemMine Tools: open source web framework for small molecule analysis

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

A metaheuristic optimization framework

• optimization
• optimization-algorithms
• optimization-methods
• genetic-algorithm

Collection of basic math routines in Ada

PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarity Augmentation"

Workbench for practical machine learning in Ruby.

• machine-learning
• machine-learning-algorithms
• neural-network
• neural-networks

Quartz - A Crystal Modeling & Simulation framework

• quartz
• simulation
• modeling
• pdevs