2020-06-19 · A general approach to distill symbolic representations of a learned deep model by introducing strong inductive biases.

symbolic-models inductive-bias graph-neural-networks graphs

2020-05-29 · Bart with a classification head trained on MNLI.

topic-modeling zero-shot-learning topic-classification text-processing

2020-04-17 · Fine-tune a text classification model with HuggingFace 🤗 transformers and fastai-v2.

transformers fastai huggingface sequence-classification

2020-04-18 · Introduces differential calculus: derivatives, partial derivatives and gradients.

differential-calculus math linear-algebra tutorial

2020-07-10 · TF Object Detection API (OD API) officially supports TensorFlow 2!

object-detection tensorflow computer-vision library

2020-07-02 · Important reinforcement learning (RL) algorithms, including policy iteration, Q-Learning, and Neural Fitted Q.

reinforcement-learning tutorial notebook code

2020-04-08 · How to load pretrained/finetuned SimCLR models from hub modules for fine-tuning.

simclr contrastive-learning self-supervised-learning representation-learning

2020-06-29 · An in-depth understanding of each of the key features of the Reformer.

reformer transformers language-modeling natural-language-processing

2020-06-10 · An efficient probabilistic method for modelling aleatoric uncertainty with any image segmentation network architecture.

image-segmentation health medical mri

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