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Finetuning Transformers with JAX + Haiku
Walking through a port of the RoBERTa pre-trained model to JAX + Haiku, then fine-tuning the model to solve a downstream task.
jax haiku roberta transformers
The Illustrated FixMatch for Semi-Supervised Learning
Learn how to leverage unlabeled data using FixMatch for semi-supervised learning
semi-supervised-learning computer-vision pytorch illustrated-series
torchlayers
Library based on PyTorch providing automatic shape and dimensionality inference of torch.nn layers + additional building blocks.
pytorch library toolkit
NLP Research Highlights — Issue #1
First quarterly issue of the natural language processing (NLP) Research Highlights series.
natural-language-processing highlights summaries text-to-text-transformer
SimCLR
What's new in semi-supervised learning? This paper, SimCLR, presents a new framework for contrastive learning of visual representations.
simclr semi-supervised-learning deep-learning machine-learning
Flax: Google’s Open Source Approach To Flexibility In ML
A gentle introduction to Flax: a neural network library for JAX that is designed for flexibility.
flax jax deep-learning library
Cycle Text-To-Image GAN with BERT
Image generation from their respective captions, building on state-of-the-art GAN architectures.
generative-adversarial-networks bert transformers image-to-text
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