A University of Manchester student has developed a powerful new ultra-lightweight tool that can turn dark, noisy footage into ...

Abstract: Image recognition and classification, powered by machine learning, is a rapidly advancing field with broad applications across various industries. Machine learning techniques, especially ...

📝 Text, for tasks like text classification, information extraction, question answering, summarization, translation, and text generation, in over 100 languages. 🖼️ Images, for tasks like image ...

The PyTorch community has continuously been at the forefront of advancing machine learning frameworks to meet the growing needs of researchers, data scientists, and AI engineers worldwide. With the ...

With the rapid advancement of technology, surpassing human abilities in tasks like image classification and language processing, evaluating the energy impact of ML is essential. Historically, ML ...

PyTorch, a machine learning and deep learning framework, has emerged as a powerful tool for both researchers and developers alike. It offers a unique blend of speed, flexibility, and user-friendly ...

Abstract: Automatic Leukemia or blood cancer detection is a challenging job and is very much required in healthcare centers. It has a significant role in early diagnosis and treatment planning.

Implementation of Imagen, Google's Text-to-Image Neural Network that beats DALL-E2, in Pytorch. It is the new SOTA for text-to-image synthesis. Architecturally, it is actually much simpler than ...

Pytorch implementation of "ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks---CVPR2020" Pytorch implementation of "Dual Attention Network for Scene Segmentation---CVPR2019" ...