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Discovering Symbolic Models from Deep Learning w/ Inductive Bias
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
FastHugs: Sequence Classification with Transformers and Fastai
Fine-tune a text classification model with HuggingFace 🤗 transformers and fastai-v2.
transformers fastai huggingface sequence-classification
Introduction to Differential Calculus
Introduces differential calculus: derivatives, partial derivatives and gradients.
differential-calculus math linear-algebra tutorial
TensorFlow 2 meets the Object Detection API
TF Object Detection API (OD API) officially supports TensorFlow 2!
object-detection tensorflow computer-vision library
Reinforcement Learning Tutorial
Important reinforcement learning (RL) algorithms, including policy iteration, Q-Learning, and Neural Fitted Q.
reinforcement-learning tutorial notebook code
Julia for Pythonistas
Julia looks and feels a lot like Python, only much faster. It's dynamic, expressive, extensible, with batteries included, in particular for Data Science.
julia python tutorial notebook
Stochastic Segmentation Networks
An efficient probabilistic method for modelling aleatoric uncertainty with any image segmentation network architecture.
image-segmentation health medical mri
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