MVTec-Anomaly-DetectionThis project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.
Stars: ✭ 161 (+143.94%)
kenchiA scikit-learn compatible library for anomaly detection
Stars: ✭ 36 (-45.45%)
Resnet On Cifar10Reimplementation ResNet on cifar10 with caffe
Stars: ✭ 123 (+86.36%)
BsconvReference implementation for Blueprint Separable Convolutions (CVPR 2020)
Stars: ✭ 84 (+27.27%)
Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Stars: ✭ 138 (+109.09%)
GMRPDA Ground Mobile Robot Perception Dataset, IEEE RA-L & IEEE T-CYB
Stars: ✭ 30 (-54.55%)
FSSD OoD DetectionFeature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)
Stars: ✭ 66 (+0%)
Tf VqvaeTensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
Stars: ✭ 226 (+242.42%)
One Pixel Attack KerasKeras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Stars: ✭ 1,097 (+1562.12%)
Randwire tensorflowtensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition
Stars: ✭ 29 (-56.06%)
dramaMain component extraction for outlier detection
Stars: ✭ 17 (-74.24%)
AognetCode for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"
Stars: ✭ 132 (+100%)
pytodTOD: GPU-accelerated Outlier Detection via Tensor Operations
Stars: ✭ 131 (+98.48%)
deepcassi[SIGGRAPH Asia 2017] High-Quality Hyperspectral Reconstruction Using a Spectral Prior
Stars: ✭ 50 (-24.24%)
deepADDetection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on J…
Stars: ✭ 65 (-1.52%)
kdsb17Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017
Stars: ✭ 18 (-72.73%)
Knowledge Distillation PytorchA PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
Stars: ✭ 986 (+1393.94%)
SimclrA PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
Stars: ✭ 198 (+200%)
Pytorch image classificationPyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
Stars: ✭ 795 (+1104.55%)
TorchdistillPyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.
Stars: ✭ 177 (+168.18%)
pytorch-cifar-model-zooImplementation of Conv-based and Vit-based networks designed for CIFAR.
Stars: ✭ 62 (-6.06%)
ResidualAttentionNetworkA Gluon implement of Residual Attention Network. Best acc on cifar10-97.78%.
Stars: ✭ 104 (+57.58%)
Chainer Cifar10Various CNN models for CIFAR10 with Chainer
Stars: ✭ 134 (+103.03%)
transfertoolsPython toolbox for transfer learning.
Stars: ✭ 22 (-66.67%)
COVID-awayRepo of paper title 'Avoid touching your face: A hand-to-face 3d motion dataset (covid-away) and trained models for smartwatches'
Stars: ✭ 18 (-72.73%)
PetridishnnCode for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
Stars: ✭ 112 (+69.7%)
anompyA Python library for anomaly detection
Stars: ✭ 13 (-80.3%)
Neural ApiCAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
Stars: ✭ 94 (+42.42%)
Tensorflow Cifar 10Cifar-10 CNN implementation using TensorFlow library with 20% error.
Stars: ✭ 85 (+28.79%)
ind knn adIndustrial knn-based anomaly detection for images. Visit streamlit link to check out the demo.
Stars: ✭ 102 (+54.55%)
Cot[ICLR'19] Complement Objective Training
Stars: ✭ 70 (+6.06%)
Cifar 10 CnnPlay deep learning with CIFAR datasets
Stars: ✭ 756 (+1045.45%)
Ali PytorchPyTorch implementation of Adversarially Learned Inference (BiGAN).
Stars: ✭ 61 (-7.58%)
kubervisorThe Kubervisor allow you to control which pods should receive traffic or not based on anomaly detection.It is a new kind of health check system.
Stars: ✭ 35 (-46.97%)
Parle Stars: ✭ 38 (-42.42%)
Dawn Bench EntriesDAWNBench: An End-to-End Deep Learning Benchmark and Competition
Stars: ✭ 254 (+284.85%)
DGFraud-TF2A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
Stars: ✭ 84 (+27.27%)
ResnetTensorflow ResNet implementation on cifar10
Stars: ✭ 10 (-84.85%)
Pytorch cifar10Pretrained TorchVision models on CIFAR10 dataset (with weights)
Stars: ✭ 219 (+231.82%)
Image classification cifar 10Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.
Stars: ✭ 18 (-72.73%)
NnpulearningNon-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10
Stars: ✭ 181 (+174.24%)
gans-2.0Generative Adversarial Networks in TensorFlow 2.0
Stars: ✭ 76 (+15.15%)
shake-drop pytorchPyTorch implementation of shake-drop regularization
Stars: ✭ 50 (-24.24%)
NaszillaNaszilla is a Python library for neural architecture search (NAS)
Stars: ✭ 181 (+174.24%)