| Context-Aware Mutual Learning for Blind Image Inpainting and Beyond added by Syntology |
2026-09 (from id) |
zhenglab/CAML/scores/mae.py 1910bb6212d04c1b |
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| Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation added by Syntology |
2026-07 (from id) |
VanessB/mutinfo/source/evaluate/process.py 396c92a87ece0cba |
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| Extreme Adaptive Transformer for Time Series Forecasting EXTREME ADAPTIVE TRANSFORMER FOR TIME SERIES FORECASTING added by Syntology |
2026-07 (from id) |
sanzexstha/Exformer/utils/metrics_dan.py 75f44993b096bf76 |
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Apache-2.0 (permissive) |
| Differentiable latent structure discovery for interpretable forecasting in clinical time series added by Syntology |
2026-04 (from id) |
yalavarthivk/GraFITi/train_grafiti.py 0286ba94d7f741aa |
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| Differentiable latent structure discovery for interpretable forecasting in clinical time series added by Syntology |
2026-04 (from id) |
yalavarthivk/GraFITi/baseline_experiments/train_linodenet.py 1406fa2cb89ec513 |
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| CloDS: Visual-Only Unsupervised Cloth Dynamics Learning in Unknown Conditions added by Syntology |
2026-02 (from id) |
whynot-zyl/CloDS/gaussian-mesh-splatting_node/NVS.py 05ac0a71a8992041 |
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| TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting |
10 Feb 2025 |
huangst21/timekan/utils/metrics.py 75f44993b096bf76 |
unverified |
Apache-2.0 (permissive) |
| Data-driven Precipitation Nowcasting Using Satellite Imagery |
16 Dec 2024 |
seominseok0429/data-driven-precipitation-nowcasting-using-satellite-imagery/metrics.py 63e596d782038a53 |
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| FilterNet: Harnessing Frequency Filters for Time Series Forecasting |
3 Nov 2024 |
wanghq21/MICN/utils/metrics.py 75f44993b096bf76 |
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| Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting |
31 Oct 2024 |
shangzongjiang/Ada-MSHyper/utils/metrics.py 75f44993b096bf76 |
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| TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting |
6 Oct 2024 |
hank0626/timebridge/utils/metrics.py 75f44993b096bf76 |
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| SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces |
17 Jun 2024 |
bdi-lab/spot-mamba/utils/metrics.py 561509b199175ea9 |
ran
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| Unleashing the Potential of Diffusion Models for Incomplete Data Imputation |
31 May 2024 |
hezgit/TDM/utils.py 8d036d1ee3960752 |
ran
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GPL-3.0 (copyleft) · pointer only |
| Are Self-Attentions Effective for Time Series Forecasting? |
27 May 2024 |
dongbeank/CATS/utils/metrics.py 75f44993b096bf76 |
unverified |
MIT (permissive) |
| Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting |
17 May 2024 |
xdzhelheim/himnet/lib/metrics.py 561509b199175ea9 |
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| TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting |
14 Mar 2024 |
atik-ahamed/timemachine/TimeMachine_supervised/utils/metrics.py 75f44993b096bf76 |
unverified |
Apache-2.0 (permissive) |
| Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling |
20 Feb 2024 |
Levi-Ackman/Leddam/utils/metrics.py 75f44993b096bf76 |
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| Topology-Informed Graph Transformer |
3 Feb 2024 |
leemingo/cy2mixer/lib/metrics.py 561509b199175ea9 |
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| STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction |
28 Dec 2023 |
magics-lab/stanhop/utils/metrics.py 75f44993b096bf76 |
unverified |
MIT (permissive) |
| The Causal Impact of Credit Lines on Spending Distributions |
16 Dec 2023 |
lyjsilence/the-causal-impact-of-credit-lines-on-spending-distributions/training.py 10d43d4c45c48add |
ran
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MIT (permissive) |
| Large Pre-trained time series models for cross-domain Time series analysis tasks |
19 Nov 2023 |
adityalab/samay/src/samay/metric.py 3d45af2dc19af0af |
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Apache-2.0 (permissive) |
| BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis |
31 Oct 2023 |
nzl5116190/Basisformer/evaluate_tool.py 75f44993b096bf76 |
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| arXiv:2310.17911 |
2023-10 (from id) |
hyperspectral-skin/Hyper-Skin-2023/helpers/losses.py 942b16cf1d0d34e3 |
ran
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MIT (permissive) |
| Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder |
25 Oct 2023 |
alinlab/metamae/models.py 3f952d0ff510309b |
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| xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection |
16 Oct 2023 |
PinzhenChen/sacreCOMET/experiments/precision/compute_metric_corr.py b32b528858bf1fbb |
ran · violated contract
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MIT (permissive) |
| UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting |
15 Oct 2023 |
liuxu77/unitime/utils/metrics.py 75f44993b096bf76 |
unverified |
Apache-2.0 (permissive) |
| Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity |
18 Aug 2023 |
nslab-cuk/community-aware-graph-transformer/metrics.py 8c3fd13fe72b290d |
unverified |
MIT (permissive) |
| TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series |
16 Aug 2023 |
scxsunchenxi/test/losses/metrics.py 75f44993b096bf76 |
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| OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning |
20 Jun 2023 |
chengtan9907/simvpv2/openstl/core/metrics.py 05ac0a71a8992041 |
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Apache-2.0 (permissive) |
| Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors |
30 May 2023 |
thuml/Koopa/utils/metrics.py 75f44993b096bf76 |
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MIT (permissive) |
| KBNet: Kernel Basis Network for Image Restoration |
6 Mar 2023 |
zhangyi-3/kbnet/Defocus_Deblurring/utils.py 5590b75db4c828a0 |
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MIT (permissive) |
| Transformed Distribution Matching for Missing Value Imputation |
20 Feb 2023 |
hezgit/tdm/tdm.py c68f26f0c249be46 |
ran · honoured contract
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| Respecting Time Series Properties Makes Deep Time Series Forecasting Perfect |
22 Jul 2022 |
origamisl/rtnet/utils/metrics.py 75f44993b096bf76 |
unverified |
Apache-2.0 (permissive) |
| TiSAT: Time Series Anomaly Transformer |
10 Mar 2022 |
kevaldoshi17/TiSAT/utils/metrics.py 75f44993b096bf76 |
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MIT (permissive) |
| ETSformer: Exponential Smoothing Transformers for Time-series Forecasting |
3 Feb 2022 |
salesforce/etsformer/utils/metrics.py 75f44993b096bf76 |
unverified |
BSD-3-Clause (permissive) |
| N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting |
30 Jan 2022 |
eeci/annex_37/assess_forecasts.py 86e750c7345818ce |
unverified |
MIT (permissive) |
| Masked Autoencoders Are Scalable Vision Learners |
11 Nov 2021 |
PatrickHua/SimpleMAE/mae.py e0ce63efd1bd3605 |
ran · metamorphic tier: deterministic
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| Masked Autoencoders Are Scalable Vision Learners |
11 Nov 2021 |
qiaopTDUN/mae-repo/vit_pytorch/mae.py 62051d3ebdd50d03 |
ran
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| Masked Autoencoders Are Scalable Vision Learners |
11 Nov 2021 |
liujiyuan13/MAE-code/model.py 1caa82740b24080e |
unverified |
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| Deep learning with self-supervision and uncertainty regularization to count fish in underwater images |
30 Apr 2021 |
ptarling/DeepLearningFishCounting/lossfunctions_metrics.py e6c42930be66ecec |
unverified |
MIT (permissive) |
| Counting Out Time: Class Agnostic Video Repetition Counting in the Wild |
27 Jun 2020 |
confifu/RepNet-Pytorch/trainLoop.py 5010f1e25df94843 |
ran · honoured contract
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| PraNet: Parallel Reverse Attention Network for Polyp Segmentation |
13 Jun 2020 |
Thehunk1206/PRANet-Polyps-Segmentation/utils/segmentation_metric.py 5f19cb59109dcf70 |
unverified |
MIT (permissive) |
| An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties |
15 May 2020 |
PV-Lab/FTCP/main_semi.py 43ce67d55b1c0129 |
unverified |
Apache-2.0 (permissive) |
| Defocus Deblurring Using Dual-Pixel Data |
1 May 2020 |
Abdullah-Abuolaim/defocus-deblurring-dual-pixel/DPDNet/metrics.py 580af109538f83ac |
unverified |
MIT (permissive) |
| arXiv:ijcai2025_0747 |
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ChujieXu/CDPNet/utils/metrics.py 75f44993b096bf76 |
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MIT (permissive) |
| arXiv:ijcai2025_0372 |
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cwang-nus/DOL/utils/metrics.py 75f44993b096bf76 |
unverified |
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| arXiv:aaai_16112 |
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ziniBRC/RNASSR-Net/train/metrics.py 8c3fd13fe72b290d |
unverified |
MIT (permissive) |
| arXiv:Zamir_Restormer_Efficient_Transformer_for_High-Resolution_Image_Restoration_CVPR_2022_paper |
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swz30/Restormer/Defocus_Deblurring/utils.py 5590b75db4c828a0 |
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MIT (permissive) |
| arXiv:Li_Met2Net_A_Decoupled_Two-Stage_Spatio-Temporal_Forecasting_Model_for_Complex_Meteorological_ICCV_2025_paper |
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ShremG/Met2Net/openstl/core/metrics.py 05ac0a71a8992041 |
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Apache-2.0 (permissive) |