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acai

Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"

active-learning

active-learning-bayesian-convolutional-neural-networks

Active Learning on Image Data using Bayesian ConvNets

active-learning-for-neural-networks

Tensorflow implementation of "EGL-word" method in AAAI 2017 paper "Active Discriminative Text Representation Learning"

activeboundary

Active Decision Boundary Annotation with Deep Generative Models

adabound-tensorflow

Simple Tensorflow implementation of "Adaptive Gradient Methods with Dynamic Bound of Learning Rate" (ICLR 2019)

adgm

Chainer implementation of Auxiliary Deep Generative Models (ADGM) and Skip Deep Generative Model (SDGM)

adversarial-robustness-toolbox

This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/

adversarialnas

[CVPR 2020] Code for paper "AdversarialNAS: Adversarial Neural Architecture Search for GANs".

adversarialnetspapers

The classical papers and codes about generative adversarial nets

age

Code for paper "Adversarial Generator-Encoder Networks" by Dmitry Ulyanov, Andrea Vedaldi and Victor Lempitsky

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

aij2023-src

all-about-the-gan

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

all-conv-keras

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

analysisbysynthesis

Adversarially Robust Neural Network on MNIST.

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

ann-benchmarks-1

Benchmarking approximate nearest neighbors

attackbox

attngan

autoencoders

Torch implementations of various types of autoencoders

awesome-adversarial-examples-dl

A curated list of awesome resources for adversarial examples in deep learning

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

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 & Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

awesome-bayesian-deep-learning

A curated list of resources dedicated to bayesian deep learning

awesome-cbir-papers

📝Awesome and classical image retrieval papers

awesome-cvpr-paper

CVPR 论文收集，包含但不限于2020、2019、2018、2017文章

awesome-deep-learning-papers

The most cited deep learning papers

awesome-knowledge-distillation

Awesome Knowledge Distillation

awesome-machine-learning-cn

机器学习资源大全中文版，包括机器学习领域的框架、库以及软件