| Hide&Seek: Learning to Explain in an End-to-End Differentiable Network added by Syntology |
2026-08 (from id) |
rajesh-lab/realx/realx.py f588900884b4d801 |
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MIT (permissive) |
| PAC-Chernoff Bounds: Understanding Generalization in the Interpolation Regime added by Syntology |
2026-06 (from id) |
Ludvins/2023-ICLR-DVIP/src/utils.py 2a8846306c2df5bf |
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Apache-2.0 (permissive) |
| GenTS: A Comprehensive Benchmark Library for Generative Time Series Models added by Syntology |
2026-05 (from id) |
WillWang1113/GenTS/gents/common/_utils.py dadec7f7cc09688a |
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MIT (permissive) |
| D2ACE: Multi-Label Batch Selection Guided by Dual Dynamics and Adaptive Correlation Enhancement added by Syntology |
2026-05 (from id) |
iunanyou/D2ACE/model.py 3cd91116c815d020 |
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| Proxy-Guided Measurement Calibration added by Syntology |
2026-03 (from id) |
sak-18/proxy-guided-calibration/src/pgmc/vae_models.py 8425038dea1085de |
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| OATS: Online Data Augmentation for Time Series Foundation Models added by Syntology |
2026-01 (from id) |
microsoft/TimeCraft/Diff-MN/models/kovae.py dadec7f7cc09688a |
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MIT (permissive) |
| ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge |
28 May 2025 |
tutujingyugang1/ChatVLA_public/torch_utils.py cf0310bb83608134 |
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MIT (permissive) |
| Robust Multimodal Survival Prediction with the Latent Differentiation Conditional Variational AutoEncoder |
12 Mar 2025 |
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| TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation |
19 Sep 2024 |
liyaxuanliyaxuan/TinyVLA/torch_utils.py cf0310bb83608134 |
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MIT (permissive) |
| GR-MG: Leveraging Partially Annotated Data via Multi-Modal Goal-Conditioned Policy |
26 Aug 2024 |
bytedance/GR-MG/policy/model/model.py 7546ec17a25b5f91 |
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| BMRS: Bayesian Model Reduction for Structured Pruning |
3 Jun 2024 |
saintslab/bmrs-structured-pruning/modules/layers.py d71a61ef4305cdc5 |
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| A Probabilistic Model Behind Self-Supervised Learning |
2 Feb 2024 |
alicebizeul/simvae/src/model/models.py f02ceba98bd976b0 |
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| Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-agent Control |
21 Nov 2023 |
MIT-REALM/gcbf-pytorch/gcbf/controller/utils.py 53cef5173a4c7f53 |
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| Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs |
4 Oct 2023 |
azencot-group/KoVAE/models/kovae.py dadec7f7cc09688a |
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| CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse |
6 Sep 2023 |
ligerfotis/crvae/model/crvae_model.py 2f6aa7a616eabb09 |
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| Pruning vs Quantization: Which is Better? |
6 Jul 2023 |
Qualcomm-AI-research/pruning-vs-quantization/pruning/pruning_manager.py 876d9a307ee3b496 |
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| Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation |
25 May 2023 |
identical code first harvested elsewhere dadec7f7cc09688a |
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| Robust Model-Based Optimization for Challenging Fitness Landscapes |
23 May 2023 |
sabagh1994/pgvae/pgvae/pgvae.py c28f74f4a6577670 |
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| Deep Variational Implicit Processes |
14 Jun 2022 |
ludvins/deepvariationalimplicitprocesses/src/dvip.py 2a8846306c2df5bf |
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| Variational Sparse Coding with Learned Thresholding |
7 May 2022 |
kfallah/manifold-contrastive/src/model/manifold/vi_encoder.py 3522556f6aac7d0a |
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| Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style Transfer |
4 May 2022 |
sharan21/EPAAE/model.py 447585e6fedec167 |
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| Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks |
28 Jan 2022 |
SCccc21/Knowledge-Enriched-DMI/attack.py 3c7bb63b7354af4f |
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MIT (permissive) |
| Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification |
2 Dec 2021 |
junwenbai/c-gmvae/model.py 3cd91116c815d020 |
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| Pathdreamer: A World Model for Indoor Navigation |
18 May 2021 |
google-research/pathdreamer/models/point_cloud_models.py 579dc1e53eab3741 |
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Apache-2.0 (permissive) |
| Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation |
10 Feb 2021 |
KarlXing/LUSR/model.py 588fadd7be65d6de |
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| Weakly Supervised Disentangled Generative Causal Representation Learning |
6 Oct 2020 |
xwshen51/DEAR/bgm.py 5b3c8bcd1091cbb0 |
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Apache-2.0 (permissive) |
| Graph Convolutional Networks for Graphs Containing Missing Features |
9 Jul 2020 |
marblet/GCNmf/models/vgae.py d8a50e7a9ba5935a |
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MIT (permissive) |
| Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample |
22 Jun 2020 |
shirgur/hp-vae-gan/modules/networks_2d.py 7ece33dc91eac801 |
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MIT (permissive) |
| Capturing Label Characteristics in VAEs |
17 Jun 2020 |
mori97/revae/models/mnist.py d7b93d9b79b19888 |
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MIT (permissive) |
| Semantic Image Synthesis with Spatially-Adaptive Normalization |
18 Mar 2019 |
GrahamRigby/GauGanPlus/Models.py 26ebad4d064f2bf8 |
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| Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders |
27 Apr 2018 |
ananyahjha93/cycle-consistent-vae/utils.py 579f5a3676c471b2 |
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MIT (permissive) |
| Compressing Neural Networks using the Variational Information Bottleneck |
28 Feb 2018 |
zhuchen03/VIBNet/ib_layers.py a744358ed458a3a2 |
unverified |
MIT (permissive) |
| Proximal Policy Optimization Algorithms |
20 Jul 2017 |
hmhuy0/SIM-RL/Sources/algo/ppo.py b1c9c127240c75d8 |
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| Proximal Policy Optimization Algorithms |
20 Jul 2017 |
mit-realm/neuriss/neuriss/rl/ppo.py 6741967893f01eac |
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MIT (permissive) |
| Proximal Policy Optimization Algorithms |
20 Jul 2017 |
ku2482/gail-airl-ppo.pytorch/gail_airl_ppo/algo/ppo.py 7c5e74bc668cf5cc |
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MIT (permissive) |
| Auto-Encoding Variational Bayes |
20 Dec 2013 |
GuHongyang/VAEs/models/VAE.py 40936e16bbb2b6d9 |
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| arXiv:ijcai2025_1031 |
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yczju/cycseq/models/utils.py 9533a4fd752317b3 |
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| arXiv:aaai_29913 |
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clovaai/TVQ-VAE/document_analysis/model.py 447585e6fedec167 |
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| arXiv:aaai_29726 |
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shesshan/CEIB/model_utils.py 4a9eab5fbae732c4 |
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MIT (permissive) |
| arXiv:aaai_20580 |
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6b5d/mmali/models/mmali/factor2.py efc66d6033ca6f88 |
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