Projects in Awesome Lists tagged with zero-shot-classification

https://github.com/mlfoundations/open_clip

An open source implementation of CLIP.

computer-vision contrastive-loss deep-learning language-model multi-modal-learning pretrained-models pytorch zero-shot-classification

Last synced: 16 Dec 2024

https://github.com/roboflow/notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

amazon-sagemaker-lab automatic-labeling-system computer-vision deep-learning deep-neural-networks google-colab image-classification image-segmentation machine-learning object-detection open-vocabulary-detection open-vocabulary-segmentation pytorch tutorial yolov5 yolov6 yolov7 yolov8 zero-shot-classification zero-shot-detection

Last synced: 17 Dec 2024

https://github.com/QIN2DIM/hcaptcha-challenger

🥂 Gracefully face hCaptcha challenge with MoE(ONNX) embedded solution.

clip computer-vision hcaptcha hcaptcha-solver image-segmentation multi-modal multi-modal-learning object-detection onnx onnx-models onnxruntime opencv-python playwright solver yolo yolov5 zero-shot-classification

Last synced: 31 Oct 2024

https://github.com/qin2dim/hcaptcha-challenger

🥂 Gracefully face hCaptcha challenge with MoE(ONNX) embedded solution.

clip computer-vision hcaptcha hcaptcha-solver image-segmentation multi-modal multi-modal-learning object-detection onnx onnx-models onnxruntime opencv-python playwright solver yolo yolov5 zero-shot-classification

Last synced: 19 Dec 2024

https://github.com/OpenGVLab/InternVideo

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

action-recognition benchmark contrastive-learning foundation-models instruction-tuning masked-autoencoder multimodal open-set-recognition self-supervised spatio-temporal-action-localization temporal-action-localization video-clip video-data video-dataset video-question-answering video-retrieval video-understanding vision-transformer zero-shot-classification zero-shot-retrieval

Last synced: 28 Oct 2024

https://github.com/nlpodyssey/cybertron

Cybertron: the home planet of the Transformers in Go

bart bert bert-as-service deep-learning huggingface machine-learning machine-translation named-entity-recognition natural-language-processing nlp question-answering summarization text-categorization text-classification text-similarity transformers translation zero-shot-classification

Last synced: 21 Dec 2024

https://github.com/salesforce/MUST

PyTorch code for MUST

clip masked-image-modeling self-training unsupervised-learning zero-shot-classification zero-shot-learning

Last synced: 15 Nov 2024

https://github.com/salesforce/must

PyTorch code for MUST

clip masked-image-modeling self-training unsupervised-learning zero-shot-classification zero-shot-learning

Last synced: 08 Nov 2024

https://github.com/kardbord/hfapigo

Unofficial (Golang) Go bindings for the Hugging Face Inference API

api audio-classification conversational-ai go golang hacktoberfest huggingface inference-api natural-language-processing nlp object-detection question-answering speech-recognition speech-recognition-api summarization text-classification text-generation token-classification translation zero-shot-classification

Last synced: 18 Dec 2024

https://github.com/prithivirajdamodaran/alt-zsc

Alternate Implementation for Zero Shot Text Classification: Instead of reframing NLI/XNLI, this reframes the text backbone of CLIP models to do ZSC. Hence, can be lightweight + supports more languages without trading-off accuracy. (Super simple, a 10th-grader could totally write this but since no 10th-grader did, I did) - Prithivi Da

text-classification text-labeling text-labelling weak-labels zero-shot-classification zeroshot-learning

Last synced: 28 Nov 2024

https://github.com/PrithivirajDamodaran/Alt-ZSC

Alternate Implementation for Zero Shot Text Classification: Instead of reframing NLI/XNLI, this reframes the text backbone of CLIP models to do ZSC. Hence, can be lightweight + supports more languages without trading-off accuracy. (Super simple, a 10th-grader could totally write this but since no 10th-grader did, I did) - Prithivi Da

text-classification text-labeling text-labelling weak-labels zero-shot-classification zeroshot-learning