meta-st-stm32mpu-aiThis repository contains the OpenEmbedded meta layer to install AI frameworks and tools for the STM32MP1
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FNet-pytorchUnofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
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Evo-ViTOfficial implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
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DeTraC COVId19Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
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deepstack-uiUI for working with Deepstack
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UnetsImplemenation of UNets for Lung Segmentation
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fastai sparse3D augmentation and transforms of 2D/3D sparse data, such as 3D triangle meshes or point clouds in Euclidean space. Extension of the Fast.ai library to train Sub-manifold Sparse Convolution Networks
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audio degraderAudio degradation toolbox in python, with a command-line tool. It is useful to apply controlled degradations to audio: e.g. data augmentation, evaluation in noisy conditions, etc.
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Bag-of-Visual-Words🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.
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GAugAAAI'21: Data Augmentation for Graph Neural Networks
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etiketaiEtiketai is an online tool designed to label images, useful for training AI models
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candockA time series signal analysis and classification framework
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KitanaQAKitanaQA: Adversarial training and data augmentation for neural question-answering models
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smdSimple mmdetection CPU inference
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deep-parkingCode to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.
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stackml-jsMachine Learning platform in-browser for creators
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survtmleTargeted Learning for Survival Analysis
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atomaiDeep and Machine Learning for Microscopy
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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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multi-task-learningMulti-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.
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denoised-smoothingProvably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
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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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coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
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basic-image-edaA simple image dataset EDA tool (CLI / Code)
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MobilePoseLight-weight Single Person Pose Estimator
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CGvsPhotoComputer Graphics vs Real Photographic Images : A Deep-learning approach
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TFLite-Android-HelperTensorFlow Lite Helper for Android to help getting started with TesnorFlow.
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subsemblesubsemble R package for ensemble learning on subsets of data
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EPCDepth[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
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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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image-classificationA collection of SOTA Image Classification Models in PyTorch
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rps-cvA Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi
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AutoSweepThe implementation for the AutoSweep (TVCG 2018)
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awesome-computer-vision-modelsA list of popular deep learning models related to classification, segmentation and detection problems
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Mask-YOLOInspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.
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image-sorter2One-click image sorting/labelling script
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stackgbm🌳 Stacked Gradient Boosting Machines
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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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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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chitraA multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
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CV本仓库将使用Pytorch框架实现经典的图像分类网络、目标检测网络、图像分割网络,图像生成网络等,并会持续更新!!!
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ros2-tensorflowROS2 nodes for computer vision tasks in Tensorflow
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Maix-LogoClassifierA simple logo classifier developed using Maixduino framework and PlatfomIO, to run on K210 MCU on Sipeed's Maix dev board.
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catacombThe simplest machine learning library for launching UIs, running evaluations, and comparing model performance.
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CoreML-and-Vision-with-a-pre-trained-deep-learning-SSD-modelThis project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…
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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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