Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
- autodiff
- deep-learning
- machine-learning
- rust
Repository Index
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A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
- robotics
- dynamics
- analytical-derivatives
- kinematics
a programming library with geometric algorithms
- graphics-libraries
- graphics-programming
- mesh-generation
- mesh-processing
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
Brian is a free, open source simulator for spiking neural networks.
- python
- neuroscience
- science
- differential-equations
2D/3D geometry toolkit for Clojure/Clojurescript
- geometry
- visualization
- mesh-generation
- opengl
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
- machine-learning
- generative-models
- drug-discovery
- benchmark
:spider_web: Gmsh for Python
- python
- pypi
- mesh-generation
- engineering
Generation of protein sequences and evolutionary alignments via discrete diffusion models
- discrete-diffusion
- generative-model
- multiple-sequence-alignment
- protein-sequences
Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support
- embedded-optimization
- nonconvex
- model-predictive-control
- rust-library
:spider_web: Mesh optimization, mesh smoothing.
- python
- pypi
- mathematics
- physics
2D/3D simplicial mesh generator interface for Python (Triangle, TetGen, gmsh)
- python
- mesh-generation
- scientific-computing
- triangle
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
- ai-for-science
- diffusion-models
- drug-design
- equivariant-networks
One open-source modeler for structures, heat and fluids, built from scratch in pure Rust: parametric part in, verified results out. Automatic all-hex and tet meshing, our own nonlinear implicit and explicit FEA, heat transfer and lattice Boltzmann CFD — every result checked against theory. For engineers and AI agents alike. Free, forever.
- cae
- cfd
- computational-mechanics
- explicit-dynamics
:spider_web: Simple mesh generator inspired by distmesh.
- mesh
- finite-elements
- mathematics
- mesh-generation
An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC
- model-predictive-control
- nonlinear-model-predictive-control
- mpc
- nmpc
Batched NVIDIA MotionBricks: generate the motion of hundreds of characters in one model call.
- character-animation
- crowd-simulation
- motion-generation
- motionbricks
The Next Generation Logic Library
Auto-QChem is an automated workflow for the generation and storage of DFT calculations for organic molecules.
- cheminformatics
- dft-calculations
- automation
- feature
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
- ai4science
- llm
- multiagent-systems
- prompt-engineering
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
- microscopy
- image-processing
- segmentation
- biology
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).
- deep-reinforcement-learning
- generative-model
- vae
- molecule-generation
Simple webapp for generating small ligand conformers
- computational-biology
- computational-chemistry
- conformer-generation
- rdkit