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2026-09 (from id) |
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2026-08 (from id) |
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2026-05 (from id) |
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ran · our draft was wrong
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Apache-2.0 (permissive) |
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2026-04 (from id) |
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ran
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2026-03 (from id) |
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unverified |
MIT (permissive) |
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2026-01 (from id) |
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2026-01 (from id) |
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2026-01 (from id) |
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2025-10 (from id) |
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unverified |
Apache-2.0 (permissive) |
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2025-08 (from id) |
tabtoyou/KRETA/src/api_client.py e688dc626c46de12 |
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26 May 2025 |
kotekjedi/capability-based-scaling/attacks/utils/model_utils.py a7b9add6cab79ccb |
unverified |
MIT (permissive) |
| GeoLangBind: Unifying Earth Observation with Agglomerative Vision-Language Foundation Models |
8 Mar 2025 |
xiong-zhitong/geolb-siglip/open_clip/src/open_clip/factory.py 86068b594e794f47 |
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Apache-2.0 (permissive) |
| Ingredients: Blending Custom Photos with Video Diffusion Transformers |
3 Jan 2025 |
feizc/ingredients/models/eva_clip/factory.py 5c7cf820e99443ff |
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Apache-2.0 (permissive) |
| FLAIR: VLM with Fine-grained Language-informed Image Representations |
4 Dec 2024 |
explainableml/flair/src/flair/factory.py 5c7cf820e99443ff |
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| On Erroneous Agreements of CLIP Image Embeddings |
7 Nov 2024 |
lst627/CLIP-Embeds/open_clip/src/open_clip/factory.py 86068b594e794f47 |
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| Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting |
30 Oct 2024 |
argenycw/FACL/models/earthformer_model.py 8abf6290fb0913d0 |
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| TurtleBench: Evaluating Top Language Models via Real-World Yes/No Puzzles |
7 Oct 2024 |
mazzzystar/TurtleBench/models.py 66eef613262a8a05 |
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Apache-2.0 (permissive) |
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19 Sep 2024 |
eify/open_clip/src/open_clip/factory.py 491eae38899d6610 |
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| VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation |
6 Sep 2024 |
mit-han-lab/vila-u/vila_u/model/utils.py 11b7b07963f16286 |
ran
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MIT (permissive) |
| Mitigate the Gap: Investigating Approaches for Improving Cross-Modal Alignment in CLIP |
25 Jun 2024 |
sarahesl/alignclip/align_clip/factory.py 5c7cf820e99443ff |
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| Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning |
11 Jun 2024 |
opengvlab/lcl/src/open_clip/factory.py 5c7cf820e99443ff |
unverified |
MIT (permissive) |
| VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs |
11 Jun 2024 |
damo-nlp-sg/inf-clip/inf_clip/factory.py 5c7cf820e99443ff |
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| FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models |
7 Jun 2024 |
rui-ye/fedllm-bench/config.py 93e0de8955732c63 |
ran
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| FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models |
7 Jun 2024 |
rui-ye/openfedllm/config.py 79b93353bd3c904e |
ran
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Apache-2.0 (permissive) |
| LoQT: Low-Rank Adapters for Quantized Pretraining |
26 May 2024 |
sebulo/LoQT/run_glue.py f95b67aca23588c3 |
ran · our draft was wrong
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MIT (permissive) |
| FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization |
21 Apr 2024 |
casia-iva-lab/filo/models/vv_open_clip/factory.py 5c7cf820e99443ff |
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8 Apr 2024 |
funz-0/promptad/PromptAD/CLIPAD/factory.py 5c7cf820e99443ff |
unverified |
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| ViTamin: Designing Scalable Vision Models in the Vision-Language Era |
2 Apr 2024 |
beckschen/vitamin/ViTamin/open_clip/factory.py 5c7cf820e99443ff |
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Apache-2.0 (permissive) |
| Long-CLIP: Unlocking the Long-Text Capability of CLIP |
22 Mar 2024 |
beichenzbc/long-clip/open_clip_long/factory.py 5c7cf820e99443ff |
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Apache-2.0 (permissive) |
| Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images |
19 Mar 2024 |
mediabrain-sjtu/mvfa-ad/CLIP/clip.py 5c7cf820e99443ff |
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MIT (permissive) |
| Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts |
11 Mar 2024 |
mala-lab/WinCLIP/open_clip/factory.py 5c7cf820e99443ff |
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GPL-3.0 (copyleft) · pointer only |
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20 Feb 2024 |
ask-berkeley/physics-nns-hard-constraints/neptune/models/model_builder.py 6ec0dd5d77d8e238 |
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| SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing |
20 Dec 2023 |
wangzhecheng/skyscript/src/open_clip/factory.py 5c7cf820e99443ff |
unverified |
MIT (permissive) |
| CLIM: Contrastive Language-Image Mosaic for Region Representation |
18 Dec 2023 |
wusize/clim/src/open_clip/factory.py 5c7cf820e99443ff |
unverified |
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| AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection |
29 Oct 2023 |
zqhang/WinCLIP-pytorch/src/open_clip/factory.py 5c7cf820e99443ff |
unverified |
MIT (permissive) |
| CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction |
2 Oct 2023 |
wusize/clipself/src/open_clip/factory.py 5c7cf820e99443ff |
unverified |
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| Demystifying CLIP Data |
28 Sep 2023 |
shkarupa-alex/tfclip/tfclip/factory.py 474abf32c26d562b |
unverified |
MIT (permissive) |
| CLIP-KD: An Empirical Study of CLIP Model Distillation |
24 Jul 2023 |
winycg/clip-kd/src/open_clip/factory.py 5c7cf820e99443ff |
unverified |
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| APRIL-GAN: A Zero-/Few-Shot Anomaly Classification and Segmentation Method for CVPR 2023 VAND Workshop Challenge Tracks 1&2: 1st Place on Zero-shot AD and 4th Place on Few-shot AD |
27 May 2023 |
bychelsea/vand-april-gan/open_clip/factory.py 5c7cf820e99443ff |
unverified |
MIT (permissive) |
| WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation |
26 Mar 2023 |
caoyunkang/WinClip/WinCLIP/CLIPAD/factory.py 5c7cf820e99443ff |
unverified |
MIT (permissive) |
| Learning Customized Visual Models with Retrieval-Augmented Knowledge |
17 Jan 2023 |
microsoft/react/react_customization/src/open_clip/factory.py 5c7cf820e99443ff |
unverified |
MIT (permissive) |
| EVA: Exploring the Limits of Masked Visual Representation Learning at Scale |
14 Nov 2022 |
baaivision/eva/EVA-01/clip/eva_clip.py 5c7cf820e99443ff |
unverified |
MIT (permissive) |
| The Chess Transformer: Mastering Play using Generative Language Models |
2 Aug 2020 |
yashbonde/chess_lm/game.py 3a2375107f881225 |
ran · our draft was wrong
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MIT (permissive) |
| Meta-Learning with Warped Gradient Descent |
30 Aug 2019 |
flennerhag/warpgrad/src/omniglot/run_multi.py 747bb1ba3659822e |
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Apache-2.0 (permissive) |
| Transferring Knowledge across Learning Processes |
3 Dec 2018 |
amzn/metalearn-leap/src/omniglot/run_multi.py 747bb1ba3659822e |
unverified |
Apache-2.0 (permissive) |
| arXiv:Yun_Pano-AVQA_Grounded_Audio-Visual_Question_Answering_on_360deg_Videos_ICCV_2021_paper |
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hs-yn/PanoAVQA/code/args.py 89a050303bc751eb |
unverified |
MIT (permissive) |