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2026-07 (from id) |
MaolinLuo/CPO/src/eval/inference.py e93a985e3fa84beb |
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MIT (permissive) |
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2026-06 (from id) |
justinbellucci/cnn-visualizations-pytorch/helper_functions.py 6b646a3452e59064 |
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2026-03 (from id) |
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ran · our draft was wrong
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2026-03 (from id) |
PPWangyc/neurona/src/create_dataset/create_bold5000_scene_graph.py 91cb92ed1cdd73a8 |
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MIT (permissive) |
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2026-03 (from id) |
hiyouga/EasyR1/verl/utils/dataset.py 9a950b864d329f1c |
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2026-02 (from id) |
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2025-07 (from id) |
Jarvisgivemeasuit/SynOOD/cleaned/clean_data.py 779f3cc955ee3059 |
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2 Jun 2025 |
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| Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving |
23 Mar 2025 |
cancaries/SceneCrafter/data_utils/img_utils.py e614ea9c40d89637 |
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MIT (permissive) |
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2025-02 (from id) |
Fantasy-AMAP/fantasy-id/models/pipeline_id.py c17ad34b7b0cba0e |
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| Ingredients: Blending Custom Photos with Video Diffusion Transformers |
3 Jan 2025 |
feizc/ingredients/models/pipeline_ingredients.py c17ad34b7b0cba0e |
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| Reducing Hallucinations in Vision-Language Models via Latent Space Steering |
21 Oct 2024 |
shengliu66/vti/vti_utils/icv_utils.py c9105024c097d7ad |
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18 Oct 2024 |
zivenzhu/multi-chart-qa/code/evaluate_idefics.py 2c0c7138e6b654e5 |
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11 Oct 2024 |
p4r4mount/E-Motion/utils/event_utils.py 5de74835fc787582 |
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| SOS: Segment Object System for Open-World Instance Segmentation With Object Priors |
22 Sep 2024 |
chwilms/SOS/prompt_generation/generate_UNet_prompts.py 3ab9cb66523e7219 |
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| SOS: Segment Object System for Open-World Instance Segmentation With Object Priors |
22 Sep 2024 |
chwilms/SOS/prompt_generation/generate_CAM_prompts.py a1d7fe1eebbdaa01 |
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| SOS: Segment Object System for Open-World Instance Segmentation With Object Priors |
22 Sep 2024 |
chwilms/SOS/prompt_generation/generate_DINO_prompts.py 47bbfea5c8165567 |
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| SOS: Segment Object System for Open-World Instance Segmentation With Object Priors |
22 Sep 2024 |
chwilms/SOS/prompt_generation/generate_VOCUS_prompts.py a6d4a66dd27fa46e |
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| SOS: Segment Object System for Open-World Instance Segmentation With Object Priors |
22 Sep 2024 |
chwilms/SOS/prompt_generation/generate_contour_prompts.py 711f5743764832db |
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| SOS: Segment Object System for Open-World Instance Segmentation With Object Priors |
22 Sep 2024 |
chwilms/sos/prompt_generation/generate_dist_prompts.py d78217b489bd4bc3 |
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| SOS: Segment Object System for Open-World Instance Segmentation With Object Priors |
22 Sep 2024 |
chwilms/sos/prompt_generation/generate_spx_prompts.py 21561cb58a5f9707 |
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| Rethinking Image Super-Resolution from Training Data Perspectives |
1 Sep 2024 |
gohtanii/DiverSeg-dataset/blockiness/calc_blockiness.py 6f93b531ec14ffeb |
ran · fixture could not drive it
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MIT (permissive) |
| PID: Physics-Informed Diffusion Model for Infrared Image Generation |
12 Jul 2024 |
fangyuanmao/pid/TeVNet/tev2hsv.py 35e783a8a8eff097 |
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MIT (permissive) |
| Accelerating Transformers with Spectrum-Preserving Token Merging |
25 May 2024 |
hchautran/PiToMe/main_ic.py 3d5861107eab1eed |
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| LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models |
3 Apr 2024 |
IntelLabs/lvlm-interpret/utils_model.py 6db878fefb797d88 |
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Apache-2.0 (permissive) |
| CogCoM: Train Large Vision-Language Models Diving into Details through Chain of Manipulations |
6 Feb 2024 |
thudm/cogcom/cogcom/utils/chat.py 7e55993d5a3ea8b2 |
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| Aligning and Prompting Everything All at Once for Universal Visual Perception |
4 Dec 2023 |
earth-insights/ClassTrans/src/dataset/utils.py 09e34c3bca52dcda |
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MIT (permissive) |
| What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning |
2 Nov 2023 |
rucaibox/comvint/ComVint/dataprocess/convert_flickr30k.py 07ed32fa68e418e5 |
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| Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks |
30 Oct 2023 |
unveilx/slm-od-ml-comparison/model/detr/code/common_utils.py 25fa358fbfbdb224 |
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MIT (permissive) |
| Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion |
23 Aug 2023 |
google/diffseg/diffseg/utils.py 145bd246f65e64ca |
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MIT (permissive) |
| MatFuse: Controllable Material Generation with Diffusion Models |
22 Aug 2023 |
giuvecchio/matfuse-sd/src/utils/inference_helpers.py 57dc047ce3d16a0b |
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MIT (permissive) |
| GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning |
20 Aug 2023 |
TsingZ0/PFL-Non-IID/system/flcore/clients/clientgpfl.py eeaf321abdedfa1f |
ran · our draft was wrong
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Apache-2.0 (permissive) |
| TheoremQA: A Theorem-driven Question Answering dataset |
21 May 2023 |
THUDM/VisualGLM-6B/model/chat.py 69186ccf8ef0fe53 |
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Apache-2.0 (permissive) |
| eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers |
2 Nov 2022 |
cross-domain-compositing/cross-domain-compositing/SVR/augment_ShapeNet_data.py ce5593d971584146 |
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MIT (permissive) |
| PP-YOLOE: An evolved version of YOLO |
30 Mar 2022 |
Gaurav14cs17/YOLOE/inference.py ead7b82265ee7f37 |
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MIT (permissive) |
| Caption Enriched Samples for Improving Hateful Memes Detection |
22 Sep 2021 |
IBM/MAX-Image-Caption-Generator/core/ops/image_processing.py 26aeb9e0cd490be4 |
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Apache-2.0 (permissive) |
| S$^3$VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation |
18 Sep 2021 |
val-iisc/s3vaada/datasets/preprocess_office-home.py 6d9202848251517d |
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MIT (permissive) |
| Face.evoLVe: A High-Performance Face Recognition Library |
19 Jul 2021 |
ZhaoJ9014/face.evoLVe.PyTorch/applications/align/face_resize.py 7602c80bf6e65b82 |
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MIT (permissive) |
| MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning |
31 Mar 2020 |
bhpfelix/MTLNAS/core/utils/visualization.py e85c27ee7db9da35 |
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Apache-2.0 (permissive) |
| Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression |
16 Apr 2019 |
affromero/SMILE/metrics/identity_model.py 011d1c9dcf2417ee |
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MIT (permissive) |
| EMNIST: an extension of MNIST to handwritten letters |
17 Feb 2017 |
Lornatang/TensorFlow-MNIST/v0_2/dataset.py 8f4ab24d39a5686c |
unverified |
Apache-2.0 (permissive) |
| Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge |
21 Sep 2016 |
brandontrabucco/im2txt_express/im2txt_express/ops/image_processing.py 00dd21191623ca8c |
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MIT (permissive) |
| A guide to convolution arithmetic for deep learning |
23 Mar 2016 |
marbleton/FPGA_MNIST/net/MNIST_2_0/generate_images.py f1436be1d5ded375 |
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MIT (permissive) |
| Continuous Deep Q-Learning with Model-based Acceleration |
2 Mar 2016 |
AndrewJWashington/protodriver/protodriver/utils.py bfa31334a3b80f82 |
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MIT (permissive) |
| Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) |
23 Nov 2015 |
barrykidney/CarND-Behavioral-Cloning-P3/model.py 7f3ca20b354d2c4b |
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MIT (permissive) |
| Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) |
23 Nov 2015 |
barrykidney/CarND-Behavioral-Cloning-P3/drive.py 8cb7962d35c1053c |
unverified |
MIT (permissive) |
| arXiv:openreview_Y1PXB8HBV7 |
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youwyouw/mirl-main/verl/utils/dataset.py 9a950b864d329f1c |
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Apache-2.0 (permissive) |
| arXiv:Hajimiri_A_Strong_Baseline_for_Generalized_Few-Shot_Semantic_Segmentation_CVPR_2023_paper |
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sinahmr/DIaM/src/dataset/utils.py 08a731405d6d9377 |
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MIT (permissive) |
| arXiv:2025.findings-emnlp.103 |
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MIT (permissive) |