Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
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jpetstore-kubernetesModernize and Extend: JPetStore on IBM Cloud Kubernetes Service
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Channel PruningChannel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
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Nsfw Resnet🔥🔥NSFW implement in pytorch(色情图&性感图识别,本程序经过了线上大数据集测试,性能优异效果良好)🔥🔥
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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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deforestationA machine learning exercise, using KNN to classify deforested areas
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IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
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zalo-landmarkZalo AI Challenge - Landmark Identification
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pytorch-vitAn Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
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aws-rekognitionA Laravel Package/Facade for the AWS Rekognition API
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VitAn Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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Image-ClassifierFinal Project of the Udacity AI Programming with Python Nanodegree
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rps-cvA Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi
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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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PlayerDetectionPlayer detection and ball detection in football matches using image processing(opencv).
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Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
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Basic cnns tensorflow2A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
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IdenprofIdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.
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al-fk-self-supervisionOfficial PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"
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Paper-NotesPaper notes in deep learning/machine learning and computer vision
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Image-ClassificationPre-trained VGG-Net Model for image classification using tensorflow
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GFNet[NeurIPS 2021] Global Filter Networks for Image Classification
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ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
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DmsmsgrcgA photo OCR project aims to output DMS messages contained in sign structure images.
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OpenreHandsFree OpenRE Tutorial
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Images Web CrawlerThis package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..
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Hardhat DetectorA convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.
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BebopsBebopS aims to simulate the behavior of Parrot Bebop 2 by using SIL methodologies
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Vector rosROS package for Anki Vector home robot
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Cv Pretrained ModelA collection of computer vision pre-trained models.
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RapiddrawA simple artificial intelligence experiment to find out if mobile neural networks can recognize human-made doodles
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Meme GeneratorMemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.
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MishOfficial Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
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DuckgooseUtils for fast.ai course
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PendulumROS, ROS2, real-time, control, pendulum
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Alpha poolingCode for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.
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Divide And Co Training[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.
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Bss distillationKnowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)
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AlbumentationsFast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
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PlanktonOpen source simulator for maritime robotics researchers
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Point Cloud FilterScripts showcasing filtering techniques applied to point cloud data.
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