Johnzhjw

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-industrial-machine-datasets

Awesome-NAS

A curated list of neural architecture search (NAS) resources.

bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

c-cmaes

CMA-ES written in ANSI C (yet fairly object-oriented)

CnC_Remastered_Collection

CVPR2022-NAS-Track-2-20-

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

fq-book

📖《这本书能让你连接互联网》详细阐述代理、隧道、VPN运作过程，并对GFW策略如：地址端口封锁、服务器缓存投毒、数字验证攻击、SSL连接阻断做相关的原理说明

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

nasnet

reimplementation of "Learning Transferable Architectures for Scalable Image Recognition" using mnist dataset, include controller

neural-backed-decision-trees

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

NeuroEvolution

Paper Collection

or-tools

Google's Operations Research tools:

OWM

Code for Continual Learning of Context-dependent Processing in Neural Networks

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.

rebel

An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.

tpu

Reference models and tools for Cloud TPUs.

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.

Cream-One-Shot-NAS

CVPR_2022_Track1

difflogic

A Library for Differentiable Logic Gate Networks

ECV-CNN-Indus