lamm-mit

PI: Markus J. Buehler, MIT Our research focus on developing a new paradigm that designs materials from the molecular scale, using MD, ML and other methods

MITCambridge, MA

Pinned Repositories

AtomAgents
Language:Forth44 2 07
GraphReasoning
Language:Jupyter Notebook191 1 450
HierarchicalDesign
A computational building block approach towards multiscale architected materials analysis and design with application to hierarchical metal metamaterials
Language:Jupyter Notebook23 1 03
LifeGPT
Language:Jupyter Notebook45 3 05
MeLM
Language:Jupyter Notebook59 2 49
PDF2Audio
Language:Jupyter Notebook1.1k 18 14139
PRefLexOR
Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning
Language:Jupyter Notebook24 2 15
ProtAgents
Language:Jupyter Notebook25 1 18
ProteinDiffusionGenerator
Generative method to design novel proteins using a diffusion model
Language:Jupyter Notebook43 3 12
SciAgentsDiscovery
Language:Python367 11 771

lamm-mit's Repositories

lamm-mit/PDF2Audio
Language:Jupyter Notebook1.1k 18 14139
lamm-mit/SciAgentsDiscovery
Language:Python367 11 771
lamm-mit/GraphReasoning
Language:Jupyter Notebook191 1 450
lamm-mit/MeLM
Language:Jupyter Notebook59 2 49
lamm-mit/LifeGPT
Language:Jupyter Notebook45 3 05
lamm-mit/AtomAgents
Language:Forth44 2 07
lamm-mit/ProtAgents
Language:Jupyter Notebook25 1 18
lamm-mit/PRefLexOR
Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning
Language:Jupyter Notebook24 2 15
lamm-mit/ProteinMechanicsDiffusionDesign
Language:Jupyter Notebook23 1 30
lamm-mit/MechAgents
Agent-based LLM modeling of mechanics problems
Language:Jupyter Notebook17 2 02
lamm-mit/MateriomicTransformer
Generative Pretrained Autoregressive Transformer Graph Neural Network applied to the Analysis and Discovery of Materials
Language:Python16 3 15
lamm-mit/Cephalo-Phi-3-Vision-MoE
Language:Python11 1 02
lamm-mit/LLM-finetuning
Language:Python11 1 1
lamm-mit/LeafGAN
Language:Jupyter Notebook10 1 1
lamm-mit/GraphGeneration
GraphGeneration: Modeling and design of hierarchical bio-inspired de novo spider web structures using deep learning and additive manufacturing
Language:Jupyter Notebook9 1 10
lamm-mit/Cephalo
Language:Jupyter Notebook8 1 01
lamm-mit/MoleculeDiffusionTransformer
Molecular generation using diffusion models and autoregressive transformer models
Language:Jupyter Notebook8 3 11
lamm-mit/SilkomeGPT
Generative strategies for modeling, design and analysis of silk protein sequences for enhanced mechanical properties
Language:Jupyter Notebook6 1 01
lamm-mit/PeptideMiner
Language:Jupyter Notebook51
lamm-mit/Cephalo-Idefics2-MoE
Language:Python2 1 0
lamm-mit/marker
Convert PDF to markdown quickly with high accuracy
Language:Python2 0 0
lamm-mit/MNNN
Language:Python2 0 0
lamm-mit/SpiderPDB
PDB files of spider silk structures
2 1 0
lamm-mit/fast-perceiver
Fast and memory efficient PyTorch implementation of the Perceiver with FlashAttention.
Language:Python1 0 0
lamm-mit/GenerativeDiffusionImages
Language:Jupyter Notebook1 1 0
lamm-mit/InstantMesh
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
Language:Python1 0 0
lamm-mit/mergekit-Phi3-V
Tools for merging pretrained large language models.
Language:Python1 0 0
lamm-mit/FieldPerceiver
Field-to-field translation
lamm-mit/GNN-collective-cell-dynamics
lamm-mit/InterPLM
Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders