SapirWeissbuch's Stars
allenai/longformer
Longformer: The Long-Document Transformer
shellysheynin/Deep-Learning-Book
Deep Learning book the covers the principles of deep learning, motivation, explanations, state of the art papers for the various tasks and architectures: CNNs, object detection, semantic segmentation, generative models, denoising, super resolution, style transfer and style manipulation, inpaintig, self supervised learning, vision transformers, OCR, and multi modal. Hope that it will be useful to some of you 🙂
OnlpLab/NEMO
Neural Modeling for Named Entities and Morphology (Hebrew NER)