Files

• devcontainer.json (json)
• imagenet_classes.json (json)
• installing_python311.md (md)
• kaggle-gpu-tpu-guide.md (md)
• Intro_Dataset_Curation_Deduplicate_Aerial_Images.ipynb (ipynb)
• requirements.txt (txt)
• Create_Books_Dataset_from_Fiftyone_app.py (py)
• Pet_Classification.py (py)
• Starter_Create_Dataloaders_Train_Val_Test.py (py)
• Training_a_Multilayer_Perceptron_for_Image_based_Regression.py (py)
• Vision_Transformer_CIFAR_10_positional_embedding_demo.py (py)
• first_five_mnist.csv (csv)
• LICENSE.md (md)
• project_task.md (md)
• kagglehub_setup_colab.md (md)
• U_net_Training_with_Augmentations.py (py)
• PyTorch_ToImage_and_ToDtype_Demonstration.py (py)
• Denoising_Diffusion_Probabilistic_Model_U_net_MNIST_Generation.py (py)
• Image_Classification_and_Dataset_Curation_with_FiftyOne_and_PyTorch_Getting_Started.py (py)
• Predicting_Car_Prices_Based_on_Their_Images.py (py)
• Creating_Embeddings_from_Resnet34.py (py)
• U-net_Tutorial.py (py)
• Part_2_Zero_Shot_Classification_Aerial_Images_CLIP_Ensemble.py (py)
• review_questions.md (md)
• fiftyone_wikiart_from_huggingface.py (py)
• .gitignore (gitignore)
• fiftyone_quickstart_from_zoo.py (py)
• .devcontainer (devcontainer)
• artifacts (artifacts)
• README.md (md)
• fiftyone_venv.md (md)
• huggingface-account-and-token.md (md)
• urls.txt (txt)
• docs (docs)
• Denoising_Diffusion_Probabilistic_Model_U_net_MNIST_Generation.ipynb (ipynb)
• ASL_from_Kaggle_to_FiftyOne.ipynb (ipynb)
• CLIP_Intro_Zero_Shot_Classification_and_Embeddings.ipynb (ipynb)
• Create_Books_Dataset_from_Fiftyone_app.ipynb (ipynb)
• google_images_scraper.js (js)
• image_scraping (image_scraping)
• Download_Images_from_Bing_to_Google_Drive.ipynb (ipynb)
• images (images)
• notebooks (notebooks)
• suggestions.md (md)
• Image_Neighborhoods_and_Clustering_of_Street_Artwork.ipynb (ipynb)
• Vision_Transformer_vs_CNNs_CIFAR10.ipynb (ipynb)
• Intro_Dataset_Curation_1_Search_and_Deduplicate_Aerial_Images.ipynb (ipynb)
• Intro_Dataset_Curation_2_CLIP_ZeroShot_Classification.ipynb (ipynb)
• Jaguar_Identification_Embeddings_Based_Exploration.ipynb (ipynb)
• Kaggle_Competition_LeNet5_Digit_Recognition.ipynb (ipynb)
• Vision_Transformer_CIFAR_10_positional_embedding_demo.ipynb (ipynb)
• Visualize_and_Cluster_Embeddings_with_FiftyOne.ipynb (ipynb)
• Predicting_Car_Prices_Based_on_Their_Images.ipynb (ipynb)
• slides (slides)
• hackathon (hackathon)
• image-dataset-curation (image-dataset-curation)
• practical-computer-vision-series (practical-computer-vision-series)
• src (src)
• data_downloaders (data_downloaders)
• Detect_Books.ipynb (ipynb)
• Generating_Images_with_Stable_Diffusion_XL.ipynb (ipynb)
• Image_Classification_and_Dataset_Curation_with_FiftyOne_and_PyTorch_Getting_Started.ipynb (ipynb)
• notebooks_as_python_scripts (notebooks_as_python_scripts)
• Trying_MedSigLip_on_FiftyOne.ipynb (ipynb)
• Detect_Books.py (py)
• Dropout_Visualization_on_MNIST_Images.py (py)
• Matrix_multiplication_Non_Linearities_and_Network_Shape.py (py)
• Kaggle_Competition_LeNet5_Digit_Recognition.py (py)
• Digital_Image_Representation_PIL_NumPy_PyTorch.py (py)
• Exploring_Object_Detection_with_FiftyOne_on_COCO_2017.py (py)
• Image_Neighborhoods_and_Clustering_of_Street_Artwork.py (py)
• Finetuning_a_Resnet_for_Multilabel_Classification.py (py)
• Generating_Images_with_Stable_Diffusion_XL.py (py)
• Interpretability_with_Class_Activation_Mapping.py (py)
• Looking_into_LeNet5_with_Random_Weights.py (py)
• Labeling_Images_with_a_Pretrained_Resnet.py (py)
• Intro_Dataset_Curation_Deduplicate_Aerial_Images.py (py)
• Visualizing_Image_Embeddings_with_Tensorboard.py (py)
• ATTRIBUTION.md (markdown)
• convert_notebooks_to_py.py (py)
• Zero_Shot_Classification_Aerial_Images_CLIP_Ensemble.py (py)
• Visualize_and_Cluster_Embeddings_with_FiftyOne.py (py)
• utilities (utilities)
• colors.csv (csv)
• setup-wandb.md (md)
• cubes_only_single_mode_results.csv (csv)
• Loading_Imagenet_Classes_from_JSON.ipynb (ipynb)
• running_dev_container.md (md)
• add_shortcut_to_google_drive.md (md)
• fiftyone_cats_vs_dogs_from_googledrive.py (py)
• Loading_Imagenet_Classes_from_JSON.py (py)
• Matrix_multiplication_Non_Linearities_and_Network_Shape.ipynb (ipynb)
• Exploring_Object_Detection_with_FiftyOne_on_COCO_2017.ipynb (ipynb)
• Dropout_Visualization_on_MNIST_Images.ipynb (ipynb)
• Food_Dataset_Curation_with_Fiftyone.ipynb (ipynb)
• Image_Dataset_Curation_with_Foundation_and_Specialist_Models_MNIST_CLIP_vs_LeNet5.ipynb (ipynb)
• Looking_into_LeNet5_with_Random_Weights.ipynb (ipynb)
• Part_2_Zero_Shot_Classification_Aerial_Images_CLIP_Ensemble.ipynb (ipynb)
• Tips_and_Tricks_For_Using_FiftyOne_in_Google_Colab.ipynb (ipynb)
• Zero_Shot_Classification_Aerial_Images_CLIP_Ensemble.ipynb (ipynb)
• fiftyone_wikiart_from_googledrive.py (py)
• Fruit_Classification_Dataloaders.py (py)
• Getting_Started_with_FiftyOne_Datasets.py (py)
• Intro_Dataset_Curation_1_Search_and_Deduplicate_Aerial_Images.py (py)
• Intro_Dataset_Curation_2_CLIP_ZeroShot_Classification.py (py)
• Jaguar_Identification_Embeddings_Based_Exploration.py (py)
• Pairwise_Comparison_of_Embeddings.py (py)
• Zero_Shot_Object_Detection_with_Grounding_DINO.py (py)