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awesome-automl-and-lightweight-models icon awesome-automl-and-lightweight-models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

awesome-meta-learning icon awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

bilinear-cnn icon bilinear-cnn

PyTorch implementation of bilinear CNN for fine-grained image recognition

bnn-pynq icon bnn-pynq

Quantized Neural Networks (QNNs) on PYNQ

continual-learning icon continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, DGR, DGR+distill, RtF, iCaRL).

dassl.pytorch icon dassl.pytorch

A PyTorch toolbox for domain adaptation and semi-supervised learning.

dlwpt-code icon dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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