Projects in Awesome Lists by lamm-mit
A curated list of projects in awesome lists by lamm-mit .
https://github.com/lamm-mit/preflexor
Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning
Last synced: 06 Apr 2025
https://github.com/lamm-mit/Graph-Aware-Transformers
Graph-Aware Attention for Adaptive Dynamics in Transformers
ai4science attention-mechanism graph graph-aware huggingface-transformers language llm-training llms materials-informatics materials-science materiomics
Last synced: 11 Apr 2025
https://github.com/lamm-mit/proteindiffusiongenerator
Generative method to design novel proteins using a diffusion model
Last synced: 13 Apr 2025
https://github.com/lamm-mit/fieldpredictorgan
Deep learning model to predict complex stress and strain fields in hierarchical composites
composite deep-learning design fracture materials-by-designs mechanical multiscale multiscale-simulation nanocomposite
Last synced: 30 Apr 2025
https://github.com/lamm-mit/mechagents
Agent-based LLM modeling of mechanics problems
Last synced: 13 Apr 2025
https://github.com/lamm-mit/fieldcompleter
GAN/convolutional and Transformer models to predict missing mechanical information given limited known data in part of the domain, and further characterize the composite geometries from the recovered mechanical fields for 2D and 3D complex microstructures
analysis computer-vision convolutional-neural-networks deep-learning deep-neural-networks design engineering fracture materials materials-informatics non-destructive-testing science strain stress testing transformers
Last synced: 30 Apr 2025
https://github.com/lamm-mit/materiomictransformer
Generative Pretrained Autoregressive Transformer Graph Neural Network applied to the Analysis and Discovery of Materials
Last synced: 13 Oct 2025
https://github.com/lamm-mit/atomic2field
Codes for translating structural defects to atomic properties
Last synced: 22 Sep 2025
https://github.com/lamm-mit/moleculediffusiontransformer
Molecular generation using diffusion models and autoregressive transformer models
ai chemistry data design dft generative modeling molecular-design quantum-mechanics
Last synced: 13 Apr 2025
https://github.com/lamm-mit/dynagen
The DynaGen model allows the prediction of dynamical field data based on microstructure input. The model is exemplified to dynamic fracture problems in brittle materials.
atomistic diffusion-model dynamics failure fracture materials-science research scientific-machine-learning
Last synced: 13 Apr 2025
https://github.com/lamm-mit/collagentransformer
CollagenTransformer: End-to-End Transformer Model to Predict Thermal Stability of Collagen Triple Helices Using an NLP Approach
Last synced: 13 Apr 2025
https://github.com/lamm-mit/graphgeneration
GraphGeneration: Modeling and design of hierarchical bio-inspired de novo spider web structures using deep learning and additive manufacturing
autoregressive bioinspired deep-learning deep-learning-algorithms generative-ai generative-diffusion-model hierarchical-materials language-model materials-by-design multiscale-modeling transformer
Last synced: 13 Apr 2025
https://github.com/lamm-mit/silkomegpt
Generative strategies for modeling, design and analysis of silk protein sequences for enhanced mechanical properties
Last synced: 06 Jul 2025
https://github.com/lamm-mit/attentioncrosstranslation
Unsupervised cross-domain translation via deep learning and adversarial attention neural networks and application to music-inspired protein designs
Last synced: 28 Jul 2025
https://github.com/lamm-mit/proteinmechanicsgnn
Rapid Prediction of Protein Natural Frequencies using Graph Neural Networks
Last synced: 29 Mar 2025
https://github.com/lamm-mit/graph-aware-transformers
Graph-Aware Attention for Adaptive Dynamics in Transformers
ai4science attention-mechanism graph graph-aware huggingface-transformers language llm-training llms materials-informatics materials-science materiomics
Last synced: 02 Mar 2025
https://github.com/lamm-mit/sparks
Multi-modal, multi-agent AI system capable of independently conducting research by formulating hypotheses, performing experiments, and adapting its strategy
Last synced: 24 Oct 2025