John's repositories
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-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Awesome-NAS
A curated list of neural architecture search (NAS) resources.
deep-learning-papers-translation
深度学习论文翻译,包括分类论文,检测论文等
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
interpretable-ml-book
Book about interpretable machine learning
InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
neural-backed-decision-trees
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
NeuroEvolution
Paper Collection
pytorch-Deep-Learning
Deep Learning (with PyTorch)
Quantum_evo_IGD_all_plots
The evolutionary curves of the mean IGD indicator values of all algorithms on DTLZ, WFG, LSMOP and MaOP.
worldmodels.github.io
World Models
awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
awesome-latex-drawing
Drawing Bayesian networks, graphical models and framework with LaTeX.
difflogic
A Library for Differentiable Logic Gate Networks