| TSPORec: Token Selection via Preference Optimization for LLM-Based Sequential Recommendation added by Syntology |
2026-08 (from id) |
WNQzhu/TSPORec/code/RQVAE/models/layers.py bbf91ec0c63ba439 |
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| Robust Contrastive Graph Clustering with Adaptive Local-Global Integration added by Syntology |
2026-05 (from id) |
vege12138/w2/model.py 1e652c9ab6b7910c |
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| PINE: Pruning Boosted Tree Ensembles with Conformal In-Distribution Prediction Equivalence added by Syntology |
2026-05 (from id) |
sbuschjaeger/PyPruning/PyPruning/ClusterPruningClassifier.py d0cc5e799e877245 |
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MIT (permissive) |
| Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting added by Syntology |
2026-05 (from id) |
ljl8336/PPM/layers/SVQ/SVQ_block.py e139cdc24aa46838 |
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Apache-2.0 (permissive) |
| BrainRVQ: A High-Fidelity EEG Foundation Model via Dual-Domain Residual Quantization and Hierarchical Autoregression added by Syntology |
2026-02 (from id) |
keqicmz/BrainRVQ/DDRVQ/modeling_ddrvq.py f3401ff70ff0a4ab |
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| Beyond Fixed Frames: Dynamic Character-Aligned Speech Tokenization added by Syntology |
2026-01 (from id) |
microsoft/unilm/beats/quantizer.py b865ae3ee66b52d3 |
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MIT (permissive) |
| Exploring Structural Degradation in Dense Representations for Self-supervised Learning added by Syntology |
2025-10 (from id) |
EldercatSAM/SSL-Degradation/estimator.py 0f6d189d67dd587e |
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| RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation added by Syntology |
2025-09 (from id) |
reczoo/RecBase/models/clvae.py bbf91ec0c63ba439 |
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| arXiv:2506.21803 |
2025-06 (from id) |
HKU-MedAI/MELP/src/melp/backbone/norm_ema_quantizer.py 4e63eaa872a45c44 |
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| GFT: Graph Foundation Model with Transferable Tree Vocabulary |
9 Nov 2024 |
zehong-wang/gft/GFT/model/vq.py 31974aebdb92319d |
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MIT (permissive) |
| Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation |
9 Sep 2024 |
rucaibox/cogcl/recbole_gnn/model/layers.py 2bb08a6817bde4fa |
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MIT (permissive) |
| NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals |
27 Aug 2024 |
935963004/neurolm/model/norm_ema_quantizer.py 4e63eaa872a45c44 |
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MIT (permissive) |
| Video Occupancy Models |
25 Jun 2024 |
manantomar/video-occupancy-models/dino/norm_ema_quantizer.py 4e63eaa872a45c44 |
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| Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI |
29 May 2024 |
935963004/labram/norm_ema_quantizer.py 4e63eaa872a45c44 |
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MIT (permissive) |
| HILCodec: High-Fidelity and Lightweight Neural Audio Codec |
8 May 2024 |
aask1357/hilcodec/models/hilcodec/vector_quantize.py 5a866a6652d3e867 |
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MIT (permissive) |
| Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening |
11 Apr 2024 |
duanyll/CANConv/canconv/layers/canconv.py bccfaab459caf521 |
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| GraphWiz: An Instruction-Following Language Model for Graph Problems |
25 Feb 2024 |
nuochenpku/Graph-Reasoning-LLM/find_paths/extract_rft.py fde5288fcc16fe36 |
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| How to Train Neural Field Representations: A Comprehensive Study and Benchmark |
16 Dec 2023 |
samuelepapa/fit-a-nef/fit_a_nef/metrics.py b7e745ba7a3c5e2b |
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MIT (permissive) |
| Geometrically-driven Aggregation for Zero-shot 3D Point Cloud Understanding |
4 Dec 2023 |
gfmei/GeoZe/partseg/simple_geoze.py c72e0cca85e9493f |
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| LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS |
28 Nov 2023 |
VITA-Group/LightGaussian/vectree/vectree.py 633917102614101e |
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| Transformers as Graph-to-Graph Models |
27 Oct 2023 |
idiap/g2g-transformer/parser/utils/data.py f3be6f4a29507f5e |
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GPL-2.0 (copyleft) · pointer only |
| Image Clustering with External Guidance |
18 Oct 2023 |
xlearning-scu/2024-icml-tac/concat_kmeans.py aeb283b3541ab5ba |
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| arXiv:2310.10939 |
2023-10 (from id) |
pmacg/fast-spectral-clustering/clusteralgs.py 5e8adc2e4b88881a |
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MIT (permissive) |
| Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation |
28 Sep 2023 |
guyyariv/TempoTokens/modules/beats/quantizer.py b865ae3ee66b52d3 |
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MIT (permissive) |
| CONVERT:Contrastive Graph Clustering with Reliable Augmentation |
17 Aug 2023 |
xihongyang1999/convert/kmeans.py 5a2ce16e3590bde4 |
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| VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs |
4 Aug 2023 |
yangling0818/vqgraph/vq.py aa0a7d67c59e2d8b |
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| High-Fidelity Audio Compression with Improved RVQGAN |
11 Jun 2023 |
zhangxinfd/speechtokenizer/speechtokenizer/model.py c26e79c6acd99d8d |
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Apache-2.0 (permissive) |
| Dink-Net: Neural Clustering on Large Graphs |
28 May 2023 |
yueliu1999/awesome-deep-graph-clustering/dgc/clustering/kmeans_gpu.py 0c7778c11aa56956 |
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MIT (permissive) |
| AudioToken: Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation |
22 May 2023 |
guyyariv/AudioToken/modules/BEATs/quantizer.py b865ae3ee66b52d3 |
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MIT (permissive) |
| Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers |
16 Feb 2023 |
eagle-dataset/eaglemeshtransformer/clusterize_eagle.py f6c4fbc5ce9e9f08 |
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MIT (permissive) |
| BEATs: Audio Pre-Training with Acoustic Tokenizers |
18 Dec 2022 |
phuriches/genrepasd/beats/quantizer.py b865ae3ee66b52d3 |
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MIT (permissive) |
| BiFeat: Supercharge GNN Training via Graph Feature Quantization |
29 Jul 2022 |
bifeat/bifeat/kmeans.py 64526802f19a1b79 |
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MIT (permissive) |
| Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets |
6 Feb 2022 |
avihu111/typiclust/deep-al/pycls/al/typiclust.py a11767e1b5147f5f |
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MIT (permissive) |
| MobileDets: Searching for Object Detection Architectures for Mobile Accelerators |
30 Apr 2020 |
inacmor/mobiledets-yolov4-pytorch/kmeans.py e93bee702f3648bb |
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MIT (permissive) |
| YOLOv4: Optimal Speed and Accuracy of Object Detection |
23 Apr 2020 |
bubbliiiing/yolov4-pytorch/kmeans_for_anchors.py 975fba22b09af743 |
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MIT (permissive) |
| Learning to Cluster Faces via Confidence and Connectivity Estimation |
1 Apr 2020 |
yl-1993/learn-to-cluster/baseline/sklearn_cluster.py fc332f32dc148ea5 |
unverified |
MIT (permissive) |
| arXiv:aaai_20726 |
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yueliu1999/Awesome-Deep-Graph-Clustering/dgc/clustering/kmeans_gpu.py 0c7778c11aa56956 |
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MIT (permissive) |
| arXiv:Liu_EEGMirror_Leveraging_EEG_Data_in_the_Wild_via_Montage-Agnostic_Self-Supervision_ICCV_2025_paper |
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XuanhaoLiu/EEGMirror/eegmirror/quantizer.py 4e63eaa872a45c44 |
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Apache-2.0 (permissive) |