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Hitting Stride by Degrees: Fine Grained Molecular Generation via Diffusion Model
A pytorch implementation of interpretable convolutional neural network.
Interpreting CNN Knowledge via an Explanatory Graph
SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks
Official implementation for CVPR'2021 paper Neural Deformation Graphs
Official PyTorch implementation for "Large Language Diffusion Models"
Predicting MS1 precursor chemical formula from MS/MS data
Multi-modal Molecule Structure-text Model for Text-based Editing and Retrieval, Nat Mach Intell 2023 (https://www.nature.com/articles/s42256-023-00759-6)
Code for generation and benchmarks of the Multimodal Spectroscopic Dataset
Robust representation of semantically constrained graphs, in particular for molecules in chemistry
Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.
MassSpecGym: A benchmark for the discovery and identification of molecules (NeurIPS 2024 Spotlight)
PyTorch implementation of FractalGen https://arxiv.org/abs/2502.17437
A geometric deep learning model for predicting molecular tensorial properties and selected spectra with high accurately and efficiency
Official Repository for the Uni-Mol Series Methods
[ICLR 2025] The source code of "MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra"
Official Code of Paper "Reversible Column Networks" "RevColv2"
Official JAX implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
[ECCV-24] Spiking Wavelet Transformer
Event camera (DVS, Spike) based Papers Published on Top International Conference
Code of ICCV 2023 paper Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers
A large-scale benchmark dataset for color-event based visual tracking
Code for our CVPR 2020 paper "Disentangling Physical Dynamics from Unknown Factors for UnsupervisedVideo Prediction"
Source code of neurips 2022 paper "Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds"