CreditAn example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
Stars: ✭ 18 (-35.71%)
HARRecognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.
Stars: ✭ 18 (-35.71%)
Hand-Digits-RecognitionRecognize your own handwritten digits with Tensorflow, embedded in a PyQT5 GUI. The Neural Network was trained on MNIST.
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zalo-landmarkZalo AI Challenge - Landmark Identification
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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"
Stars: ✭ 28 (+0%)
ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
Stars: ✭ 326 (+1064.29%)
DmsmsgrcgA photo OCR project aims to output DMS messages contained in sign structure images.
Stars: ✭ 18 (-35.71%)
Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Stars: ✭ 212 (+657.14%)
RostensorflowTensorFlow ImageNet demo using ROS sensor_msgs/Image
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Pytorch ToolbeltPyTorch extensions for fast R&D prototyping and Kaggle farming
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Image-ClassificationPre-trained VGG-Net Model for image classification using tensorflow
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Channel PruningChannel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
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GFNet[NeurIPS 2021] Global Filter Networks for Image Classification
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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).
Stars: ✭ 374 (+1235.71%)
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.
Stars: ✭ 149 (+432.14%)
IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
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MultidigitmnistCombine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning
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Neural PipelineNeural networks training pipeline based on PyTorch
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MNIST-CoreMLPredict handwritten digits with CoreML
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jpetstore-kubernetesModernize and Extend: JPetStore on IBM Cloud Kubernetes Service
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VitAn Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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Paper-NotesPaper notes in deep learning/machine learning and computer vision
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catacombThe simplest machine learning library for launching UIs, running evaluations, and comparing model performance.
Stars: ✭ 13 (-53.57%)
Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
Stars: ✭ 139 (+396.43%)
rps-cvA Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi
Stars: ✭ 102 (+264.29%)
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)🔥🔥
Stars: ✭ 142 (+407.14%)
Image-ClassifierFinal Project of the Udacity AI Programming with Python Nanodegree
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deforestationA machine learning exercise, using KNN to classify deforested areas
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aws-rekognitionA Laravel Package/Facade for the AWS Rekognition API
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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…
Stars: ✭ 16 (-42.86%)
Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
Stars: ✭ 21 (-25%)
PlayerDetectionPlayer detection and ball detection in football matches using image processing(opencv).
Stars: ✭ 50 (+78.57%)
pytorch-vitAn Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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playing with vaeComparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
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scrnaseqA single-cell RNAseq pipeline for 10X genomics data
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redundansRedundans is a pipeline that assists an assembly of heterozygous/polymorphic genomes.
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eventkitEvent-driven data pipelines
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deepstack-uiUI for working with Deepstack
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digdetA realtime digit OCR on the browser using Machine Learning
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hms-av-pipeline-demoHUAWEI AV Pipeline Kit sample code project, which contains the Java sample code to implement functions like video playback, video super-resolution and media asset management. C++ sample code is contained for calling MediaFilter to use the sound event detection plugin.
Stars: ✭ 14 (-50%)
SURFSURF - Speeded Up Robust Features - source code
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ai-image-recognition-webDerin Öğrenme Kütüphanesi Keras ile Python Flask Web Framework Üzerinde Nesne Tanıma Uygulaması - https://vision-image-classify.herokuapp.com/
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EDTAExtensive de-novo TE Annotator
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krshA declarative KubeFlow Management Tool
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ConvNetA convolutional neural network for images recognition
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