EfficientnetImplementation of EfficientNet model. Keras and TensorFlow Keras.
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Constrained attention filter(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks
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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.
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Caffe ModelCaffe models (including classification, detection and segmentation) and deploy files for famouse networks
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Vision4j CollectionCollection of computer vision models, ready to be included in a JVM project
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Tensorflow object tracking videoObject Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition
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RegnetPytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
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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.
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ImgclsmobSandbox for training deep learning networks
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ProbQAProbabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.
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CNN-SoilTextureClassification1-dimensional convolutional neural networks (CNN) for the classification of soil texture based on hyperspectral data
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perceptual-advexCode and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".
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focallossFocal Loss of multi-classification in tensorflow
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text2classMulti-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT
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stgPython/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)
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napkinXCExtremely simple and fast extreme multi-class and multi-label classifiers.
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MLLabelUtils.jlUtility package for working with classification targets and label-encodings
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Python-Machine-Learning-FundamentalsD-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.
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InstantDLInstantDL: An easy and convenient deep learning pipeline for image segmentation and classification
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HRFormerThis is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".
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wymlptiny fast portable real-time deep neural network for regression and classification within 50 LOC.
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projection-pursuitAn implementation of multivariate projection pursuit regression and univariate classification
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ScaleNetData-Driven Neuron Allocation for Scale Aggregation Networks
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neuralBlackA Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework
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sklearn-audio-classificationAn in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
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eeg-rsenetMotor Imagery EEG Signal Classification Using Random Subspace Ensemble Network
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data-science-notesOpen-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)
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XEDXED multilingual emotion datasets
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keras cv attention modelsKeras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox
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nlp classificationImplementing nlp papers relevant to classification with PyTorch, gluonnlp
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Predictive-Maintenance-of-Aircraft-EngineIn this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
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pyts-reproA repository to compare the performance between the algorithms implemented in pyts and the performance reported in the literature
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ruimteholR package to Embed All the Things! using StarSpace
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textlyticsText processing library for sentiment analysis and related tasks
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pigalleryPiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging
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volkscvA Python toolbox for computer vision research and project
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PASSLPASSL包含 SimCLR,MoCo v1/v2,BYOL,CLIP,PixPro,BEiT,MAE等图像自监督算法以及 Vision Transformer,DEiT,Swin Transformer,CvT,T2T-ViT,MLP-Mixer,XCiT,ConvNeXt,PVTv2 等基础视觉算法
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Focal Loss KerasMulti-class classification with focal loss for imbalanced datasets
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tf-imagenetTensorFlow ImageNet - Training and SOTA checkpoints
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Attack-ImageNetNo.2 solution of Tianchi ImageNet Adversarial Attack Challenge.
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ONNX-ImageNet-1K-Object-DetectorPython scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX. The repository combines a class agnostic object localizer to first detect the objects in the image, and next a ResNet50 model trained on ImageNet is used to label each box.
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pytorch2kerasPyTorch to Keras model convertor
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Swin-TransformerThis is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
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Tiny-Imagenet-200🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.
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