MedpyMedical image processing in Python
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ResNet-50-CBAM-PyTorchImplementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.
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depth-map-predictionPytorch Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
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image-sorter2One-click image sorting/labelling script
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PyTrxPyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.
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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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deepstack-uiUI for working with Deepstack
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Hierarchical-TypingCode and Data for all experiments from our ACL 2018 paper "Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking"
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SimplePythonCNNOnly in native python & numpy with Keras interface
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backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
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ros2-tensorflowROS2 nodes for computer vision tasks in Tensorflow
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denoised-smoothingProvably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
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MAxOMedical action ontology
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DICOM.jlJulia package for reading and writing DICOM (Digital Imaging and Communications in Medicine) files
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CGvsPhotoComputer Graphics vs Real Photographic Images : A Deep-learning approach
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deidbest effort anonymization for medical images using python
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goexif2MAINTAINER WANTED -- Decode embedded EXIF meta data from image files written in Pure Golang
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imgpalrR package for generating color palettes from arbitrary images.
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nnDetectionnnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
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DeepBind-with-PyTorchCNN architecture for predicting DNA binding sites for Transcription Factors
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zalo-landmarkZalo AI Challenge - Landmark Identification
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ParseCareKitSecurely synchronize any CareKit 2.1+ based app to a Parse Server Cloud. Compatible with parse-hipaa.
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WSI-analysisPython scripts for automatic Whole-Slide Image preprocessing.
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favorite-research-papersListing my favorite research papers 📝 from different fields as I read them.
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tfvaegan[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL
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stackml-jsMachine Learning platform in-browser for creators
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AlphaTree-graphic-deep-neural-networkAI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱
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image featuresExtract deep learning features from images using simple python interface
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TNCR DatasetDeep learning, Convolutional neural networks, Image processing, Document processing, Table detection, Page object detection, Table classification. https://www.sciencedirect.com/science/article/pii/S0925231221018142
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ailia-modelsThe collection of pre-trained, state-of-the-art AI models for ailia SDK
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MNISTHandwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
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etiketaiEtiketai is an online tool designed to label images, useful for training AI models
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clinicadlFramework for the reproducible processing of neuroimaging data with deep learning methods
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auslan-party✌Real-time translation of the Auslan Alphabet
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deep-explanation-penalizationCode for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
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AlizaMSDICOM Viewer
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meta-st-stm32mpu-aiThis repository contains the OpenEmbedded meta layer to install AI frameworks and tools for the STM32MP1
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TFLite-Android-HelperTensorFlow Lite Helper for Android to help getting started with TesnorFlow.
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Food-Categories-ClassificationThis repository contains the dataset and the source code for the classification of food categories from meal images.
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trojanzooTrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classification in deep learning.
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mementoOrganize your meme image cluster in a better format using OCR from the meme to sort them using tesseract along with editing memes by segmenting them using OpenCV within a directory
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Evo-ViTOfficial implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
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FocusLiteNNOfficial PyTorch and MATLAB implementations of our MICCAI 2020 paper "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology"
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multi-task-learningMulti-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
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