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Pytorch Image ClassificationTutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
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VickyBytesSubscribe to this GitHub repo to access the latest tech talks, tech demos, learning materials & modules, and developer community updates!
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Deep Learning Training GuiTrain and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.
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Tfclassify UnityAn example of using Tensorflow with Unity for image classification and object detection.
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Resnetcam KerasKeras implementation of a ResNet-CAM model
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CNN-Image-ClassifierA Simple Deep Neural Network to classify images made with Keras
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ImageclassificationDeep Learning: Image classification, feature visualization and transfer learning with Keras
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Marta GanMARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
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aml-registermodelGitHub Action that allows you to register models to your Azure Machine Learning Workspace.
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DynamicViT[NeurIPS 2021] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
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DeTraC COVId19Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
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etiketaiEtiketai is an online tool designed to label images, useful for training AI models
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AOIAn R 📦 to find, process, and describe "areas of interest"
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ImagenetTrial on kaggle imagenet object localization by yolo v3 in google cloud
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CGvsPhotoComputer Graphics vs Real Photographic Images : A Deep-learning approach
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subwAIScripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification
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Plant AIPerforming Leaf Image classification for Recognition of Plant Diseases using various types of CNN Architecture, For detection of Diseased Leaf and thus helping the increase in crop yield.
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MishOfficial Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
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Codar✅ CODAR is a Framework built using PyTorch to analyze post (Text+Media) and predict Cyber Bullying and offensive content. 💬📷
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deep-learningProjects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…
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Paper-NotesPaper notes in deep learning/machine learning and computer vision
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Alpha poolingCode for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.
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deepstack-uiUI for working with Deepstack
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aitlasAiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
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Computervision RecipesBest Practices, code samples, and documentation for Computer Vision.
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catacombThe simplest machine learning library for launching UIs, running evaluations, and comparing model performance.
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