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2026-09 (from id) |
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2026-07 (from id) |
LAMDA-Tabular/TALENT/TALENT/model/utils.py db2fe357a8af4965 |
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MIT (permissive) |
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2026-06 (from id) |
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2026-06 (from id) |
edstevenson/ThousandWorlds/thousandworlds/evaluate.py 8866460a8892b44d |
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MIT (permissive) |
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2026-06 (from id) |
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2026-05 (from id) |
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2026-03 (from id) |
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2026-02 (from id) |
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2026-02 (from id) |
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2026-02 (from id) |
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MIT (permissive) |
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2025-12 (from id) |
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2025-10 (from id) |
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| xLSTMTime : Long-term Time Series Forecasting With xLSTM |
14 Jul 2024 |
muslehal/xLSTMTime/src/metrics.py 1799dcc70885ac60 |
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MIT (permissive) |
| TALENT: A Tabular Analytics and Learning Toolbox |
4 Jul 2024 |
qile2000/LAMDA-TALENT/TALENT/model/utils.py db2fe357a8af4965 |
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| On the Completeness of Invariant Geometric Deep Learning Models |
7 Feb 2024 |
GraphPKU/GeoNGNN/utils/loss_fns.py 59a3739f7c137827 |
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| Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting |
8 Jan 2024 |
pengxin-guo/adcsd/libcity/evaluator/eval_funcs.py d43c793b0819b516 |
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| Multi Time Scale World Models |
27 Oct 2023 |
ALRhub/MTS3/utils/Losses.py a2da722a97faba18 |
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| Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning |
2 Jun 2023 |
THUNLP-MT/GET/evaluate.py 73ae277598dfc72b |
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25 May 2023 |
TUM-ITR/koopcore/koopcore/auxilliary/any.py f6d85b06a431d110 |
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MIT (permissive) |
| LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction |
27 Apr 2023 |
libcity/bigscity-libcity/libcity/evaluator/eval_funcs.py 39ddf715e408db82 |
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Apache-2.0 (permissive) |
| Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data |
23 Feb 2023 |
vanderschaarlab/compcate/src/compcate/experiments/experiment_utils.py 78f2721cc89ba916 |
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MIT (permissive) |
| Log-Linear-Time Gaussian Processes Using Binary Tree Kernels |
4 Oct 2022 |
mkc1000/btgp/btgp/gp.py fd7cabe7d679d108 |
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4 Apr 2022 |
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MIT (permissive) |
| Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferring |
16 Jan 2022 |
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| Climate-Invariant Machine Learning |
14 Dec 2021 |
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| Traffic4cast -- Large-scale Traffic Prediction using 3DResNet and Sparse-UNet |
10 Nov 2021 |
resuly/traffic4cast-2021/models/Resnet3D.py 3d8ba4bf088061b8 |
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MIT (permissive) |
| An Experimental Review on Deep Learning Architectures for Time Series Forecasting |
22 Mar 2021 |
pedrolarben/TimeSeriesForecasting-DeepLearning/experiments/metrics.py db34a8f024e6b394 |
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MIT (permissive) |
| TransQuest: Translation Quality Estimation with Cross-lingual Transformers |
1 Nov 2020 |
tharindudr/transQuest/transquest/algo/sentence_level/monotransquest/evaluation.py caa8fa90a6034056 |
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| DeepGMR: Learning Latent Gaussian Mixture Models for Registration |
20 Aug 2020 |
vinits5/learning3d/examples/train_deepgmr.py 7d9486b5108c6d07 |
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| Guarantees for Tuning the Step Size using a Learning-to-Learn Approach |
30 Jun 2020 |
Kolin96/learning-to-learn/grid_search_eta_lr.py 3c2bdf1f52efa337 |
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MIT (permissive) |
| Output-Weighted Optimal Sampling for Bayesian Experimental Design and Uncertainty Quantification |
22 Jun 2020 |
ablancha/gpsearch/gpsearch/core/metrics.py 574bbedcda73512c |
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MIT (permissive) |
| Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels |
13 Jun 2020 |
xingchenwan/nasbowl/perf_metrics.py fd1cb5746c3cdd8b |
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MIT (permissive) |
| Deep Learning for Time Series Forecasting: Tutorial and Literature Survey |
21 Apr 2020 |
potosnakw/neuralforecast/neuralforecast/losses/numpy.py ab6a1d596d6e55da |
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Apache-2.0 (permissive) |
| PanNuke Dataset Extension, Insights and Baselines |
24 Mar 2020 |
alexjfoote/reetoolbox/reetoolbox/metrics.py 30f91c811cbc554f |
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Apache-2.0 (permissive) |
| OnionNet: a multiple-layer inter-molecular contact based convolutional neural network for protein-ligand binding affinity prediction |
2019-06 (from id) |
zhenglz/onionnet/predict.py b96dcf394c817689 |
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| Orthogonal Statistical Learning |
25 Jan 2019 |
vsyrgkanis/orthogonal_learning/experiments.py 7bf0b49ce7d1b34b |
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MIT (permissive) |
| Neural Arithmetic Logic Units |
1 Aug 2018 |
bmistry4/nalm-benchmark/misc/singularity_issue.py 3c7139452df8334e |
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MIT (permissive) |
| Deep learning to represent sub-grid processes in climate models |
12 Jun 2018 |
jordanott/CBRAIN-CAM/cbrain/losses.py 889048aa1db91c55 |
unverified |
MIT (permissive) |
| NILMTK: An Open Source Toolkit for Non-intrusive Load Monitoring |
2014-04 (from id) |
nilmtk/nilmtk/nilmtk/losses.py 93b41829513a8250 |
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Apache-2.0 (permissive) |
| arXiv:aaai_33789 |
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dingyanna/LC-GODE/util_tmp.py 138e40620fde4538 |
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Apache-2.0 (permissive) |
| arXiv:aaai_27923 |
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Jiahuiqu/M2DTN/metrics_utils.py c035dd38bd51da7e |
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MIT (permissive) |
| arXiv:Mao_Cross-Rejective_Open-Set_SAR_Image_Registration_CVPR_2025_paper |
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XDyaoshi/CroR-OSIR-main/CroR-OSIR-main-version-two/Rmse_tool.py d2e859cf3cf66dec |
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Apache-2.0 (permissive) |
| arXiv:2023.findings-acl.892 |
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Apache-2.0 (permissive) |