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[ICLR 2025] CL-DiffPhyCon achieves closed-loop diffusion control of physical systems with significant speedup of sampling efficiency
Letta (formerly MemGPT) is a framework for creating LLM services with memory.
FinRL-Meta: Dynamic datasets and market environments for FinRL.
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
[NeurIPS2024] DiffPhyCon uses generative models to control complex physical systems
A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
Geometric Latent Diffusion Models for 3D Molecule Generation
A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
Transformer: PyTorch Implementation of "Attention Is All You Need"
A concise but complete full-attention transformer with a set of promising experimental features from various papers
Machine (.bsg) file generator for the game Besiege
Create beautiful diagrams just by typing notation in plain text.
Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
An E(3) equivariant Graph Neural Network for predicting electronic Hamiltonian matrix
A game theoretic approach to explain the output of any machine learning model.
Official data repository for the Open Reaction Database
Atomistic Line Graph Neural Network https://scholar.google.com/citations?user=9Q-tNnwAAAAJ&hl=en https://www.youtube.com/watch?v=WYePjZMzx3M
Deep neural networks for density functional theory Hamiltonian.
An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]
Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.