Made With ML

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Finetuning Transformers with JAX + Haiku
2020-03-29 · 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

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The Illustrated FixMatch for Semi-Supervised Learning
2020-03-31 · Learn how to leverage unlabeled data using FixMatch for semi-supervised learning
semi-supervised-learning computer-vision pytorch illustrated-series

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torchlayers
2020-03-28 · Library based on PyTorch providing automatic shape and dimensionality inference of torch.nn layers + additional building blocks.
pytorch library toolkit

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NLP Research Highlights — Issue #1
2020-03-06 · First quarterly issue of the natural language processing (NLP) Research Highlights series.
natural-language-processing highlights summaries text-to-text-transformer

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SimCLR
2020-03-06 · 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

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An Illustrated Guide to Graph Neural Networks
2020-03-30 · A breakdown of the inner workings of GNNs.
graph-neural-networks graph-deep-learning graphs illustrated-series

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Flax: Google’s Open Source Approach To Flexibility In ML
2020-03-26 · A gentle introduction to Flax: a neural network library for JAX that is designed for flexibility.
flax jax deep-learning library

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A Two-Step Graph Convolutional Decoder for Molecule Generation
2019-12-01 · A simple auto-encoder framework for molecule generation.
graph-convolutional-networks graph-neural-networks molecule-generation chemistry

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Cycle Text-To-Image GAN with BERT
2020-03-26 · 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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TorchIO: Medical Image Processing in Deep Learning and PyTorch
2020-03-09 · Tools for medical image processing in deep learning and PyTorch
medical-imaging radiology pytorch computer-vision

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