RSS 1.0Software
Recent Submissions
-
matheusguerrero/club-exco: Toy example for Club Exco method.(Github, 2022-12-08) [Software]Toy example for Club Exco method.
-
PangChung/SpatialScalePrecipExtremes:(Github, 2022-12-06) [Software]
-
sauradip/MUPPET: This repository contains the code for "Multi-Modal Few-Shot Temporal Action Detection via Vision-Language Meta-Adaptation"(Github, 2022-11-25) [Software]This repository contains the code for "Multi-Modal Few-Shot Temporal Action Detection via Vision-Language Meta-Adaptation"
-
yousefalamri55/HighOrderDIRKs: Very High-Order A-stable Stiffly Accurate Diagonally Implicit Runge-Kutta Methods(Github, 2022-11-23) [Software]Very High-Order A-stable Stiffly Accurate Diagonally Implicit Runge-Kutta Methods
-
YangLing0818/SGDiff: Official implementation for "Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training" https://arxiv.org/abs/2211.11138(Github, 2022-11-19) [Software]Official implementation for "Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training" https://arxiv.org/abs/2211.11138
-
dylanashley/story-distiller:(Github, 2022-11-07) [Software]
-
Pauljanson002/pretrained-cl: A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning (Accepted at DistShift workshop at Neurips 2022)(Github, 2022-10-09) [Software]A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning (Accepted at DistShift workshop at Neurips 2022)
-
Pauljanson002/pretrained-cl: A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning (Accepted at DistShift workshop at Neurips 2022)(Github, 2022-10-09) [Software]A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning (Accepted at DistShift workshop at Neurips 2022)
-
RobertCsordas/ctlpp: Codebase for our EMNLP 2022 paper "CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations"(Github, 2022-10-07) [Software]Codebase for our EMNLP 2022 paper "CTL++: Evaluating Generalization on Never-Seen Compositional Patterns of Known Functions, and Compatibility of Neural Representations"
-
bio-ontology-research-group/KSA001: Telomere-2-Telomere Genome from Saudi Arabia(Github, 2022-09-27) [Software]Telomere-2-Telomere Genome from Saudi Arabia
-
DIG-Kaust/RockGAN: Reproducible material for A Wasserstein GAN with gradient penalty for 3D porous media generation.(Github, 2022-09-22) [Software]Reproducible material for A Wasserstein GAN with gradient penalty for 3D porous media generation.
-
DIG-Kaust/Seismic_PnP: Plug and Play Post-Stack Seismic Inversion with CNN-based Denoisers(Github, 2022-09-20) [Software]Plug and Play Post-Stack Seismic Inversion with CNN-based Denoisers
-
LucasCJYSDL/HierAIRL: Codes of the paper: Hierarchical Adversarial Inverse Reinforcement Learning.(Github, 2022-09-13) [Software]Codes of the paper: Hierarchical Adversarial Inverse Reinforcement Learning.
-
izzatum/laplace-hypopinn: Notebooks repository for "Laplace HypoPINN: Physics-Informed Neural Network for hypocenter localization and its predictive uncertainty"(Github, 2022-09-11) [Software]Notebooks repository for "Laplace HypoPINN: Physics-Informed Neural Network for hypocenter localization and its predictive uncertainty"
-
HaozheLiu-ST/MEE:(Github, 2022-08-18) [Software]
-
guochengqian/Pix4Point: Official Repo for paper `Pix4Point: Image Pretrained Transformers for 3D Point Cloud Understanding`(Github, 2022-08-17) [Software]Official Repo for paper `Pix4Point: Image Pretrained Transformers for 3D Point Cloud Understanding`
-
DIG-Kaust/DeepPrecs: Deep Preconditioned Inverse problems(Github, 2022-08-14) [Software]Deep Preconditioned Inverse problems
-
YuBinLab-QUST/scBKAP: scBKAP: a clustering model for single-cell RNA-Seq data based on bisecting K-means(Github, 2022-08-12) [Software]scBKAP: a clustering model for single-cell RNA-Seq data based on bisecting K-means
-
jianzhangcs/R-DFCIL: R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning, ECCV2022 [PyTorch Code](Github, 2022-07-23) [Software]R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning, ECCV2022 [PyTorch Code]
-
jianzhangcs/R-DFCIL: R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning, ECCV2022 [PyTorch Code](Github, 2022-07-23) [Software]R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning, ECCV2022 [PyTorch Code]