Pinned 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-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)
caffe-android-demo
An android caffe demo app exploiting caffe pre-trained ImageNet model for image classification
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
Johnzhjw's Repositories
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.
Johnzhjw/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Johnzhjw/awesome-industrial-machine-datasets
Johnzhjw/Awesome-NAS
A curated list of neural architecture search (NAS) resources.
Johnzhjw/bertviz
Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)
Johnzhjw/c-cmaes
CMA-ES written in ANSI C (yet fairly object-oriented)
Johnzhjw/CnC_Remastered_Collection
Johnzhjw/CVPR2022-NAS-Track-2-20-
Johnzhjw/deep-learning-papers-translation
深度学习论文翻译，包括分类论文，检测论文等
Johnzhjw/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
Johnzhjw/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
Johnzhjw/Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
Johnzhjw/interpretable-ml-book
Book about interpretable machine learning
Johnzhjw/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
Johnzhjw/nasnet
reimplementation of "Learning Transferable Architectures for Scalable Image Recognition" using mnist dataset, include controller
Johnzhjw/neural-backed-decision-trees
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Johnzhjw/NeuroEvolution
Paper Collection
Johnzhjw/or-tools
Google's Operations Research tools:
Johnzhjw/OWM
Code for Continual Learning of Context-dependent Processing in Neural Networks
Johnzhjw/pytorch-Deep-Learning
Deep Learning (with PyTorch)
Johnzhjw/Quantum_evo_IGD_all_plots
The evolutionary curves of the mean IGD indicator values of all algorithms on DTLZ, WFG, LSMOP and MaOP.
Johnzhjw/rebel
An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.
Johnzhjw/tpu
Reference models and tools for Cloud TPUs.
Johnzhjw/worldmodels.github.io
World Models
Johnzhjw/awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
Johnzhjw/awesome-latex-drawing
Drawing Bayesian networks, graphical models and framework with LaTeX.
Johnzhjw/Cream-One-Shot-NAS
Johnzhjw/CVPR_2022_Track1
Johnzhjw/difflogic
A Library for Differentiable Logic Gate Networks
Johnzhjw/ECV-CNN-Indus