Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Code repository for TensorFlow Machine Learning Cookbook by Packt
A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow
Compare outputs between layers written in Tensorflow and layers written in Pytorch
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
Fully Convlutional Neural Networks for state-of-the-art time series classification
Implementation of various Vision Transformers I found interesting
Keras library for building (Universal) Transformers, facilitating BERT and GPT models
Experiment on NER task using Huggingface state-of-the-art Transformers Natural Language Models library
Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch
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