Explore live open-source projects and AI models.

Python parser for generating descriptive graphs from Natural Bond Orbital data ready for use in Graph Neural Networks.

GNNs for predicting solubility of molecules in organic solvents using PyTorch and DGL

including compiler to encode DGL GNN model to instructions, runtime software to transfer data and control the accelerator, and hardware verilog code that can be implemented on FPGA

Implementation of "Denoise Pretraining on Non-equilibrium Molecular Conformations for Accurate and Transferable Neural Potentials" in PyTorch.

Website for DGL project

No description available from source.

Dynamic layer swapping for optimal inference performance with synchronous copy-compute overlap within Comfy UI

No description available from source.

Diffpool implementation for GDLMA SoSe22 @ TUM

DG-Lab 原版远程控制协议