- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Too long lines (1000+ characters) 24 files: chapters/es/unit0/welcome/TableOfContents.mdx chapters/en/unit2/cnns/yolo.mdx chapters/en/unit2/cnns/intro-transfer-learning.mdx chapters/en/unit10/synthetic-lung-images.mdx chapters/en/unit7/video-processing/transformers-based-models.mdx chapters/en/unit3/vision-transformers/oneformer.mdx chapters/en/unit12/introduction.mdx chapters/en/unit4/multimodal-models/tasks-models-part1.mdx chapters/en/unit0/welcome/TableOfContents.mdx chapters/en/unit8/3d_measurements_stereo_vision.mdx chapters/en/unit5/generative-models/practical-applications/cycle_gan.mdx chapters/en/unit5/generative-models/variational_autoencoders.mdx chapters/en/unit1/feature-extraction/feature-matching.mdx chapters/en/unit1/chapter1/definition.mdx chapters/en/unit1/image_and_imaging/extension-image.mdx notebooks/Unit 4 - Multimodal Models/CLIP and relatives/Image_retrieval_with_prompts.ipynb notebooks/Unit 4 - Multimodal Models/CLIP and relatives/Image classification with CLIP.ipynb notebooks/Unit 4 - Multimodal Models/CLIP and relatives/Clustering with CLIP.ipynb notebooks/Unit 4 - Multimodal Models/ClipCrop.ipynb notebooks/Unit 2 - Convolutional Neural Networks/transfer_learning_vgg19.ipynb notebooks/Unit 2 - Convolutional Neural Networks/timm_Resnet.ipynb notebooks/Unit 3 - Vision Transformers/Swin.ipynb notebooks/Unit 3 - Vision Transformers/DETR.ipynb notebooks/Unit 3 - Vision Transformers/KnowledgeDistillation.ipynb - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Too long file (1000000+ bytes) 15 files: notebooks/Unit 5 - Generative Models/GANs & VAEs/cycleGAN.ipynb notebooks/Unit 4 - Multimodal Models/Clip_finetune.ipynb notebooks/Unit 4 - Multimodal Models/CLIP and relatives/Image_similarity.ipynb notebooks/Unit 7 - Video and Video Processing/Vivit_Fine_tuned_Video_Classification.ipynb notebooks/Unit 6 - Basic CV Tasks/Fine_tune_SAM_(Segment_Anything_Model)_on_Custom_Dataset.ipynb notebooks/Unit 10 - Synthetic Data Creation/Synthetic_lung_images_hf_course.ipynb notebooks/Unit 10 - Synthetic Data Creation/synthetic_data_creation_sdxl_turbo.ipynb notebooks/Unit 10 - Synthetic Data Creation/blenderproc_examples.ipynb notebooks/Unit 10 - Synthetic Data Creation/OWLV2_labeled_image_dataset_with_annotations.ipynb notebooks/Unit 3 - Vision Transformers/transfer-learning-image-classification.ipynb notebooks/Unit 3 - Vision Transformers/LoRA-Image-Classification.ipynb notebooks/Unit 3 - Vision Transformers/Fine-tuning Vision Transformers for Object detection.ipynb notebooks/Unit 3 - Vision Transformers/transfer-learning-segmentation.ipynb notebooks/Unit 3 - Vision Transformers/fine-tuning-multilabel-image-classification.ipynb git-history.txt - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Hidden files and folders path like ".*/[.][a-zA-Z0-9_]+.*" 2 files: .gitignore .pre-commit-config.yaml - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Too many lines (10000) 1 files: notebooks/Unit 10 - Synthetic Data Creation/image_labeling_BLIP_2.ipynb - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -