#python #automl #computer_vision #data_science #deep_learning #distributed_computing #ensemble_learning #gluon #image_classification #machine_learning #mxnet #natural_language_processing #object_detection #pytorch #structured_data #transfer_learning

https://github.com/awslabs/autogluon

#jupyter_notebook #artificial_intelligence #azure #computer_vision #convolutional_neural_networks #data_science #deep_learning #image_classification #image_processing #jupyter_notebook #kubernetes #machine_learning #microsoft #object_detection #operationalization #python #similarity #tutorial

https://github.com/microsoft/computervision-recipes

#other #awesome #awesome_list #classification #dataset #deep_learning #forecasting #image_classification #machine_learning #multi_label_classification #series_forecasting

https://github.com/NirantK/awesome-project-ideas

#python #artificial_intelligence #attention_mechanism #computer_vision #image_classification #transformers

https://github.com/lucidrains/vit-pytorch

#python #ade20k #image_classification #imagenet #mask_rcnn #mscoco #object_detection #semantic_segmentation #swin_transformer

https://github.com/microsoft/Swin-Transformer

#python #text_classification #text #transformer #vision #image_classification #feedforward_neural_network #language_model #fourier_transform #fnet

https://github.com/rishikksh20/FNet-pytorch

#python #nlp #sparsity #tensorflow #keras #pytorch #deep_learning_algorithms #image_classification #deep_learning_library #pruning #object_detection #automl #computer_vision_algorithms #onnx #deep_learning_models #sparsification #pruning_algorithms #smaller_models #model_sparsification #sparsification_recipes #recipe_driven_approaches

https://github.com/neuralmagic/sparseml

#python #image_classification #image_recognition #pretrained_models #knowledge_distillation #product_recognition #autoaugment #cutmix #randaugment #gridmask #deit #repvgg #swin_transformer #image_retrieval_system

https://github.com/PaddlePaddle/PaddleClas

#typescript #annotation #annotation_tool #annotations #boundingbox #computer_vision #computer_vision_annotation #dataset #deep_learning #image_annotation #image_classification #image_labeling #image_labelling_tool #imagenet #labeling #labeling_tool #semantic_segmentation #tensorflow #video_annotation

https://github.com/openvinotoolkit/cvat

#other #classification #convolutional_neural_networks #dataset #datasets #deep_learning #deep_neural_networks #image_classification #keras #machine_learning #python #pytorch #remote_sensing #satellite_data #satellite_imagery #satellite_images #sentinel #tensorflow

https://github.com/robmarkcole/satellite-image-deep-learning

#python #action_recognition #anomaly_detection #audio_processing #background_removal #crowd_counting #deep_learning #face_detection #face_recognition #fashion_ai #gan #hand_detection #image_classification #image_segmentation #machine_learning #neural_network #object_detection #object_recognition #object_tracking #pose_estimation

https://github.com/axinc-ai/ailia-models

#python #bumble #efficientnet #image_classification #tensorflow

https://github.com/bumble-tech/private-detector

#jupyter_notebook #computer_vision #deep_learning #deep_neural_networks #image_classification #image_segmentation #object_detection #pytorch #tutorial #yolov5 #yolov6 #yolov7

https://github.com/roboflow-ai/notebooks

#python #deep_learning #image_classification #imagenet #mobilenet #pytorch #regnet #resnet #resnext #senet #shufflenet #swin_transformer

https://github.com/open-mmlab/mmclassification

#jupyter_notebook #computer_vision #deep_learning #image_classification #imagenet #neural_network #object_detection #pretrained_models #pretrained_weights #pytorch #semantic_segmentation #transfer_learning

https://github.com/Deci-AI/super-gradients

#cplusplus #ai #behaviour_analysis #cv #deep_learning #deepstream #face_recognition #feature_extraction #gstreamer #image_classification #image_enhancement #image_segmentation #license_plate_recognition #object_detection #opencv #reid #similarity_search #video_analysis #video_processing

https://github.com/sherlockchou86/VideoPipe

#python #deep_learning #hub #image_classification #instance_segmentation #machine_learning #obb #object_detection #pose #pytorch #tracking #ultralytics #yolo #yolo_world #yolo_world_v2 #yolo11 #yolov10 #yolov8 #yolov9

Ultralytics YOLO11 is a state-of-the-art model for object detection, segmentation, classification, and pose estimation. It is fast, accurate, and easy to use, making it suitable for various tasks. You can install it using pip (`pip install ultralytics`) and use it via the command line or Python scripts. The model comes with extensive documentation and community support through Discord, Reddit, and forums. Additionally, Ultralytics offers integrations with other AI platforms like Roboflow and ClearML to enhance your workflow. This tool benefits users by providing high-performance AI capabilities with minimal setup and robust community resources for assistance.

https://github.com/ultralytics/ultralytics

#javascript #annotation #annotation_tool #annotations #boundingbox #computer_vision #data_labeling #dataset #datasets #deep_learning #image_annotation #image_classification #image_labeling #image_labelling_tool #label_studio #labeling #labeling_tool #mlops #semantic_segmentation #text_annotation #yolo

Label Studio is a free, open-source tool that helps you label different types of data like images, audio, text, videos, and more. It has a simple and user-friendly interface that makes it easy to prepare or improve your data for machine learning models. You can customize it to fit your needs and export labeled data in various formats. It supports multi-user labeling, multiple projects, and integration with machine learning models for pre-labeling and active learning. You can install it locally using Docker, pip, or other methods, or deploy it in cloud services like Heroku or Google Cloud Platform. This tool streamlines your data labeling process and helps you create more accurate ML models.

https://github.com/HumanSignal/label-studio