ailia-modelsThe collection of pre-trained, state-of-the-art AI models for ailia SDK
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mongu🌱 Yet another Python Object-Document Mapper on top of PyMongo. It's lightweight, intuitive to use and easy to understand.
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Evo-ViTOfficial implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
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imgpalrR package for generating color palettes from arbitrary images.
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auslan-party✌Real-time translation of the Auslan Alphabet
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stackml-jsMachine Learning platform in-browser for creators
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ros2-tensorflowROS2 nodes for computer vision tasks in Tensorflow
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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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food-detection-yolov5🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕
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SimplePythonCNNOnly in native python & numpy with Keras interface
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deepstack-uiUI for working with Deepstack
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super-gradientsEasily train or fine-tune SOTA computer vision models with one open source training library
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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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TFLite-Android-HelperTensorFlow Lite Helper for Android to help getting started with TesnorFlow.
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image featuresExtract deep learning features from images using simple python interface
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ML4K-AI-ExtensionUse machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.
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image-sorter2One-click image sorting/labelling script
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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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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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megadlbot ossMegatron was a telegram file management bot that helped a lot of users, specially movie channel managers to upload their files to telegram by just providing a link to it. The project initially started as roanuedhuru_bot which lately retired and came back as Megatron which was a side project of the famous Maldivian Telegram community - @baivaru u…
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multi-task-learningMulti-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
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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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DynamicViT[NeurIPS 2021] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
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tutorialsA tutorial series by Preferred.AI
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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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zalo-landmarkZalo AI Challenge - Landmark Identification
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Poke-Pi-DexOur deep learning for computer vision related project for nostalgic poke weebs (Sistemi digitali, Unibo).
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CGvsPhotoComputer Graphics vs Real Photographic Images : A Deep-learning approach
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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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DeTraC COVId19Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
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backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
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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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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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quart-motorMotor support for Quart applications
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denoised-smoothingProvably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
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favorite-research-papersListing my favorite research papers 📝 from different fields as I read them.
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etiketaiEtiketai is an online tool designed to label images, useful for training AI models
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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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MNISTHandwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
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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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MingMongoDB ODM (Object Document Mapper) with Unit of Works, IdentityMap, Relations and Mongo-In-Memory implementation
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image-classificationA collection of SOTA Image Classification Models in PyTorch
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goexif2MAINTAINER WANTED -- Decode embedded EXIF meta data from image files written in Pure Golang
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