Lists (1)
Stars
Over 60 recipes to work with topology, overlays and indoor routing
Source Code for 'Machine Learning on Geographical Data Using Python' by Joos Korstanje
[ICLR 2023] Multimodal Federated Learning via Contrastive Representation Ensemble
[ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Implementation of the Kdeep Paper
kMoL is a machine learning library for drug discovery and life sciences, with federated learning capabilities.
A Federated Learning Benchmark for Drug-Target Interaction
Source code accompanying the NeurIPS 2022 paper "Learning Partial Equivariances From Data"
互联网仍有记忆！那些曾经在校招过程中毁过口头offer、意向书、三方的公司！纵然人微言轻，也想尽绵薄之力！
[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
DeepDrug: A general graph-based deep learning framework for drug relation prediction
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
[TMLR 2023] Training and simulating MD with ML force fields
Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding
Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.
DiffLinker: Equivariant 3D-Conditional Diffusion Model for Molecular Linker Design
Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)