| Toward Explainable and Policy-Aware AI for Carbon Credit Price Prediction: A Research Framework for Emerging Carbon Markets added by Syntology |
2026-09 (from id) |
Kimalice/Toward-Explainable-and-Policy-Aware-AI-for-Carbon-Credit-Price-Prediction/paxcarbonnet/metrics.py a1424f0703cded50 |
unverified |
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| An Empirical Benchmark of Deep Time-Series Models for Smart Meter Energy Forecasting added by Syntology |
2026-08 (from id) |
behnazkavoosi/Energy-Time-Series-Library/compute_metrics.py 2c88fa85214e7d48 |
ran
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MIT (permissive) |
| TS-Fault: Benchmarking Time Series Forecasters Against Structural Faults added by Syntology |
2026-06 (from id) |
Ray-zyy/TS-Fault/eval_foundation_phase1.py 2c88fa85214e7d48 |
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| Conveyance: A Versatile Framework for Learning in Structured Class Spaces added by Syntology |
2026-05 (from id) |
ZKI-PH-ImageAnalysis/Conveyance/Annotation-Bias/loss.py b9b020472d1ef906 |
ran
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MIT (permissive) |
| Revisiting Chebyshev Polynomial and Anisotropic RBF Models for Tabular Regression added by Syntology |
2026-02 (from id) |
gerberl/poly-erbf-benchmark/perbf/evaluation/metrics.py c859d072a2ab4fd7 |
unverified |
MIT (permissive) |
| Thermodynamic assessment of machine learning models for solid-state synthesis prediction added by Syntology |
2026-02 (from id) |
kaist-amsg/Synthesizability-PU-CGCNN/main_PU_learning.py 8d28ce13cc82e55f |
ran · our draft was wrong
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| Rethinking Recurrent Neural Networks for Time Series Forecasting: A Reinforced Recurrent Encoder with Prediction-Oriented Proximal Policy Optimization added by Syntology |
2026-01 (from id) |
Laixin233/-Reinforced-Encoder/task/metric.py 12640a5c31d3e0fe |
unverified |
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| Self-Supervised Dynamical System Representations for Physiological Time-Series added by Syntology |
2025-12 (from id) |
yuqinie98/PatchTST/PatchTST_self_supervised/src/metrics.py 4d345bf5bfa84ace |
unverified |
Apache-2.0 (permissive) |
| xLSTMTime : Long-term Time Series Forecasting With xLSTM |
14 Jul 2024 |
muslehal/xLSTMTime/src/metrics.py 4d345bf5bfa84ace |
unverified |
MIT (permissive) |
| Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration |
26 Jun 2024 |
kangliao929/noise-da/models/metric.py 0570fbc1e2582ae7 |
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| A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models |
5 Jun 2024 |
layer6ai-labs/flipd/lid/evaluation/lid_evaluation.py 2dc9f8e6f1b3636e |
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| Con-CDVAE: A method for the conditional generation of crystal structures |
2024-03 (from id) |
cyye001/con-cdvae/cgcnn/predict.py 8d28ce13cc82e55f |
ran · our draft was wrong
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MIT (permissive) |
| A path-dependent PDE solver based on signature kernels |
2024-03 (from id) |
crispitagorico/sigppde/utils.py ab6e258bbc18e37d |
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MIT (permissive) |
| Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting |
8 Jan 2024 |
pengxin-guo/adcsd/libcity/evaluator/eval_funcs.py adfbb8bc32262202 |
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| A foundation model for atomistic materials chemistry |
2024-01 (from id) |
arosen93/qmof/machine_learning/cgcnn/predict.py 8d28ce13cc82e55f |
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MIT (permissive) |
| Multi-scale Reconstruction of Turbulent Rotating Flows with Generative Diffusion Models |
2023-12 (from id) |
smartturb/palette-turb/models/metric.py 0570fbc1e2582ae7 |
ran
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MIT (permissive) |
| Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models |
11 Oct 2023 |
ryliu68/CDMA/models/metric.py 0570fbc1e2582ae7 |
ran
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MIT (permissive) |
| DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images |
8 Aug 2023 |
xavierjiezou/diffcr/models/metric.py 0570fbc1e2582ae7 |
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| BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning |
27 Jul 2023 |
hpcforge/bubbleml/sciml/op_lib/metrics.py 182909793fbe5044 |
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| Masked Autoencoders for Unsupervised Anomaly Detection in Medical Images |
14 Jul 2023 |
lilygeorgescu/mae-medical-anomaly-detection/evaluate_sup.py 74df7139a58f71a6 |
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| PIGEON: Predicting Image Geolocations |
11 Jul 2023 |
LukasHaas/PIGEON/evaluation/metrics.py b3cad4ecdab12eef |
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| Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis |
16 Jun 2023 |
mitchellostrow/dsa/DSA/stats.py 43a5b3592b84536d |
unverified |
MIT (permissive) |
| Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning |
2 Jun 2023 |
THUNLP-MT/GET/evaluate.py 55dc4516b218bc5e |
unverified |
MIT (permissive) |
| GSURE-Based Diffusion Model Training with Corrupted Data |
22 May 2023 |
bahjat-kawar/gsure-diffusion/generate.py f421021f6a45c9a4 |
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| LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction |
27 Apr 2023 |
libcity/bigscity-libcity/libcity/evaluator/eval_funcs.py dd2102b030c94016 |
unverified |
Apache-2.0 (permissive) |
| A Benchmark and a Baseline for Robust Multi-view Depth Estimation |
13 Sep 2022 |
lmb-freiburg/robustmvd/rmvd/loss/utils.py 17be877e869b59a5 |
unverified |
Apache-2.0 (permissive) |
| Musika! Fast Infinite Waveform Music Generation |
18 Aug 2022 |
marcoppasini/musika/losses.py f447aaedd81df24c |
unverified |
MIT (permissive) |
| Learning Deep Time-index Models for Time Series Forecasting |
13 Jul 2022 |
salesforce/deeptime/utils/metrics.py f5e904e06587dc6a |
unverified |
BSD-3-Clause (permissive) |
| Accelerating Material Design with the Generative Toolkit for Scientific Discovery |
8 Jul 2022 |
gt4sd/gt4sd-core/src/gt4sd/training_pipelines/cgcnn/core.py 13690cec3ee4ba4f |
unverified |
MIT (permissive) |
| What Information is Necessary and Sufficient to Predict Materials Properties using Machine Learning? |
2022-06 (from id) |
pv-lab/compstruct/main_cgcnn.py 8d28ce13cc82e55f |
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MIT (permissive) |
| Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data |
15 Dec 2021 |
RetroCirce/Zero_Shot_Audio_Source_Separation/losses.py b7cd9d2f3d4b3669 |
unverified |
MIT (permissive) |
| Long-Range Transformers for Dynamic Spatiotemporal Forecasting |
24 Sep 2021 |
qdata/spacetimeformer/spacetimeformer/eval_stats.py c8124414b7e9de1b |
unverified |
MIT (permissive) |
| CrysXPP:An Explainable Property Predictor for Crystalline Materials |
2021-04 (from id) |
iitkgpaiforscience/crysxpp/src/prop.py be7ec3c87b0c2292 |
unverified |
MIT (permissive) |
| An Experimental Review on Deep Learning Architectures for Time Series Forecasting |
22 Mar 2021 |
pedrolarben/TimeSeriesForecasting-DeepLearning/experiments/metrics.py bbb210993c0eedbe |
unverified |
MIT (permissive) |
| Deep learning the spanwise-averaged Navier--Stokes equations |
2020-08 (from id) |
b-fg/SANSpy/sanspy/losses.py 9ba5975605c85b37 |
unverified |
MIT (permissive) |
| Deep Learning for Time Series Forecasting: Tutorial and Literature Survey |
21 Apr 2020 |
potosnakw/neuralforecast/neuralforecast/losses/numpy.py 84033b84cec70d7a |
unverified |
Apache-2.0 (permissive) |
| Meta Pseudo Labels |
23 Mar 2020 |
usccolumbia/tsdnn/predict.py 8d28ce13cc82e55f |
ran · our draft was wrong
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MIT (permissive) |
| Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals |
2018-12 (from id) |
materialsvirtuallab/megnet/megnet/utils/metrics.py 7cd70353cde137d0 |
unverified |
BSD-3-Clause (permissive) |
| Relational inductive biases, deep learning, and graph networks |
4 Jun 2018 |
davidtangGT/MEGNET/megnet/utils/metrics.py 7cd70353cde137d0 |
unverified |
BSD-3-Clause (permissive) |
| Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties |
2017-10 (from id) |
txie-93/cgcnn/predict.py 8d28ce13cc82e55f |
ran · our draft was wrong
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MIT (permissive) |
| NILMTK: An Open Source Toolkit for Non-intrusive Load Monitoring |
2014-04 (from id) |
nilmtk/nilmtk/nilmtk/losses.py 9ac0edff092e856a |
unverified |
Apache-2.0 (permissive) |