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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
Tensorflow, Pytorch, Transformer, Fastai, etc. Tutorials
BERT Classification, Question Answering, Seq2Seq Machine Translation, Contextual Topic Modeling, Large Scale Multilabelclassification, etc
transformers text-classification pytorch tensorflow
Getting started with JAX (MLPs, CNNs & RNNs)
Learn the building blocks of JAX and use them to build some standard Deep Learning architectures (MLP, CNN, RNN, etc.).
jax xla autograd tpu
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
MedicalZoo PyTorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
medical-image-segmentation volumetric-segmentation medical-image-proccessing deep-learning
Google Colab Tips for Power Users
Learn about lesser-known features in Google Colab to improve your productivity.
notebook article colab
TableQA
AI tool for querying natural language on tabular data like csvs and other dataframes.
sql tabular question-answering natural-language-processing
Simple Transformers: Transformers Made Easy
Simple Transformers removes complexity and lets you get down to what matters – model training and experimenting with the Transformer model architectures.
transformers huggingface simple-transformers text-classification
Test-Time Data Augmentation
Tutorial on how to properly implement test-time image data augmentation in a production environment with limited computational resources.
data-augmentation keras production tensorflow
Fine-tune a non-English GPT-2 Model with Huggingface
In this tutorial, we are going to use the transformers library by Huggingface. We will use the new Trainer class and fine-tune out GPT-2 model.
transformers fine-tuning huggingface gpt
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