Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor
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A library for scientific machine learning and physics-informed learning
- neural-network
- deep-learning
- scientific-machine-learning
- pinn
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
- optimization
- multi-objective-optimization
- nsga2
- nsga3
Infrastructure for evolutionary AI systems. GPU-accelerated, PyTorch-based optimization with an ecosystem of algorithm libraries, benchmarks, and tools.
- evolutionary-algorithms
- neuroevolution
- gpu-acceleration
- multi-objective-optimization
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
A library for generative social simulation
- agent-based-simulation
- generative-agents
- multi-agent
- social-simulation
Generation of protein sequences and evolutionary alignments via discrete diffusion models
- discrete-diffusion
- generative-model
- multiple-sequence-alignment
- protein-sequences
Algebraic Multigrid Solvers in Python
- amg
- solver
- python
- multigrid
A Free and Open Source Python Library for Multiobjective Optimization
- optimization
- multiobjective
- evolutionary
- algorithm
Graph-linked unified embedding for single-cell multi-omics data integration
- bioinformatics
- deep-learning
- single-cell
- single-cell-multiomics
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Multibody dynamics tool kit.
- python
- dynamics
- physics
- simulation
Python library for multilinear algebra and tensor factorizations
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
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
Automated 3D brain registration with support for multiple species and atlases.
- registration
- atlases
- brain
- neuroscience
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
- ai4science
- llm
- multiagent-systems
- prompt-engineering
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
- deep-generative-model
- deep-learning
- single-cell-data-integration
- single-cell-multiomics
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
Multigrate: multiomic data integration for single-cell genomics
Official implementation of JAMIE, Joint variational Autoencoders for Multimodal Imputation and Embedding
- autoencoder
- imputation
- integration
- multimodal
scPair: Boosting single cell multimodal analysis by leveraging single cell atlases and implicit feature selection