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996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

advbox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

adversarial-attacks-pytorch

A pytorch implementations of Adversarial attacks and utils

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

aer

scalable active learning by approximated error reduction

aglpp

am-lfs-pytorch

The reproduce for "AM-LFS: AutoML for Loss Function Search"

angular-penalty-softmax-losses-pytorch

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

arcface-pytorch

autodeeplab

Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation

autokaggle

Automated Machine Learning (AutoML) for Kaggle Competition

autokeras

accessible AutoML for deep learning.

awesome-cto

A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

awesome-deep-learning-papers

awesome-fairness-in-ai

A curated list of awesome Fairness in AI resources

awesome-image-colorization

:books: A collection of Deep Learning based Image Colorization and Video Colorization papers.

awesome-of-long-tailed-recognition

A curated list of long-tailed recognition resources.

cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

colorization

Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

darts

Differentiable architecture search for convolutional and recurrent networks

darts-pytorch

PyTorch 1.0 supported for CNN exp.

deeplab_pytorch

All version of deeplab implemented in Pytorch

deeplearning-benchmark

deepnet

Implementation of some deep learning algorithms.

dividemix

Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning

dre

eagr

Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.