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DETR: End-to-End Object Detection with Transformers
A new method that views object detection as a direct set prediction problem.
object-detection panoptic-segmentation transformers computer-vision
VirTex: Learning Visual Representations from Textual Annotations
We train CNN+Transformer from scratch from COCO, transfer the CNN to 6 downstream vision tasks, and exceed ImageNet features despite using 10x fewer ...
convolutional-neural-networks transformers coco visual-representations
AutoGOAL
A Python framework for Automated Machine Learning (AutoML), hyperparameter tunning and program synthesis in general.
automl python machine-learning code
T5 fine-tuning
A colab notebook to showcase how to fine-tune T5 model on various NLP tasks (especially non text-2-text tasks with text-2-text approach)
natural-language-processing transformers text-2-text t5
BLINK: Better entity LINKing
Entity Linking python library that uses Wikipedia as the target knowledge base.
named-entity-recognition wikification natural-language-processing code
ONNX T5
Summarization, translation, Q&A, text generation and more at blazing speed using a T5 version implemented in ONNX.
onnx pytorch transformers t5
NeuralCook — Image2Ingredients and Cooking Recommendation
Deep learning application to identify ingredients from cooking dishes images and recommend dishes to cook, given a set of ingredients.
cooking text-generation recommendation-systems joint-embeddings
How to Steal Modern NLP Systems with Gibberish?
It’s possible to steal BERT-based models without any real training data, even using gibberish word sequences.
bert adversarial-attacks computer-security adversarial-learning
Q-Aid
A comprehensive healthcare conversational agent powered by Visual QA and segmentation models.
question-answering health pytorch visual-question-answering
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