Constrained attention filter(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks
Stars: ✭ 36 (-88.85%)
Deep Atrous Cnn SentimentDeep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications
Stars: ✭ 64 (-80.19%)
Assembled CnnTensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
Stars: ✭ 319 (-1.24%)
Graph 2d cnnCode and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
Stars: ✭ 67 (-79.26%)
GhostnetCV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
Stars: ✭ 1,744 (+439.94%)
Triplet AttentionOfficial PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
Stars: ✭ 222 (-31.27%)
Text classificationall kinds of text classification models and more with deep learning
Stars: ✭ 7,179 (+2122.6%)
Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Stars: ✭ 1,868 (+478.33%)
RegnetPytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
Stars: ✭ 129 (-60.06%)
Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
Stars: ✭ 85 (-73.68%)
VidaugEffective Video Augmentation Techniques for Training Convolutional Neural Networks
Stars: ✭ 178 (-44.89%)
Models Comparison.pytorch Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures
Stars: ✭ 148 (-54.18%)
Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Stars: ✭ 4,448 (+1277.09%)
Tensorflow object tracking videoObject Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition
Stars: ✭ 491 (+52.01%)
PointcnnPointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Stars: ✭ 1,120 (+246.75%)
RmdlRMDL: Random Multimodel Deep Learning for Classification
Stars: ✭ 375 (+16.1%)
Cinc Challenge2017ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
Stars: ✭ 112 (-65.33%)
Pytorch Imagenet Cifar Coco Voc TrainingTraining examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.
Stars: ✭ 130 (-59.75%)
Mead BaselineDeep-Learning Model Exploration and Development for NLP
Stars: ✭ 238 (-26.32%)
Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Stars: ✭ 212 (-34.37%)
Big transferOfficial repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Stars: ✭ 1,096 (+239.32%)
Fast AutoaugmentOfficial Implementation of 'Fast AutoAugment' in PyTorch.
Stars: ✭ 1,297 (+301.55%)
Switchable NormalizationCode for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779
Stars: ✭ 804 (+148.92%)
IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Stars: ✭ 163 (-49.54%)
ImagenetTensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset
Stars: ✭ 155 (-52.01%)
PyconvPyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Stars: ✭ 231 (-28.48%)
AddernetCode for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
Stars: ✭ 722 (+123.53%)
TtachImage Test Time Augmentation with PyTorch!
Stars: ✭ 455 (+40.87%)
Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
Stars: ✭ 448 (+38.7%)
Yolo tensorflow🚖 Object Detection (YOLOv1) implentation in tensorflow, with training, testing and video features.
Stars: ✭ 45 (-86.07%)
TorchioMedical image preprocessing and augmentation toolkit for deep learning
Stars: ✭ 708 (+119.2%)
Shiftresnet CifarResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
Stars: ✭ 112 (-65.33%)
EdafaTest Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.
Stars: ✭ 107 (-66.87%)
Malware ClassificationTowards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
Stars: ✭ 88 (-72.76%)
Vision4j CollectionCollection of computer vision models, ready to be included in a JVM project
Stars: ✭ 132 (-59.13%)
SimpsonrecognitionDetect and recognize The Simpsons characters using Keras and Faster R-CNN
Stars: ✭ 131 (-59.44%)
EfficientnetImplementation of EfficientNet model. Keras and TensorFlow Keras.
Stars: ✭ 1,920 (+494.43%)
Mobilenet V2A Complete and Simple Implementation of MobileNet-V2 in PyTorch
Stars: ✭ 206 (-36.22%)
simpleAICV-pytorch-ImageNet-COCO-trainingSimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.
Stars: ✭ 276 (-14.55%)
ImgclsmobSandbox for training deep learning networks
Stars: ✭ 2,405 (+644.58%)
RobustnessCorruption and Perturbation Robustness (ICLR 2019)
Stars: ✭ 463 (+43.34%)
Caffenet BenchmarkEvaluation of the CNN design choices performance on ImageNet-2012.
Stars: ✭ 700 (+116.72%)
Caffe ModelCaffe models (including classification, detection and segmentation) and deploy files for famouse networks
Stars: ✭ 1,258 (+289.47%)
Cnn SvmAn Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
Stars: ✭ 170 (-47.37%)
CvTThis is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
Stars: ✭ 262 (-18.89%)