flexible-yolov5More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam,dcn and so on), and tensorrt
Stars: ✭ 282 (+171.15%)
Pytorch Cifar100Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
Stars: ✭ 2,423 (+2229.81%)
TensorrtxImplementation of popular deep learning networks with TensorRT network definition API
Stars: ✭ 3,456 (+3223.08%)
dotfilesmy rice dump featuring meme bash aliases, minimal slim theme with waifus, some new i3 modes and a transparent status bar with blocks scripts.
Stars: ✭ 23 (-77.88%)
clockwork-firefoxClockwork - php dev tools integrated to your browser - Firefox add-on
Stars: ✭ 22 (-78.85%)
frameworkA stylish PHP application framework crafted using Slim, Twig, Eloquent and Sentinel designed to get you from clone to production in a matter of minutes.
Stars: ✭ 56 (-46.15%)
SE-Net-CIFARSE-Net Incorporates with ResNet and WideResnet on CIFAR-10/100 Dataset.
Stars: ✭ 48 (-53.85%)
TensorMONKA collection of deep learning models (PyTorch implemtation)
Stars: ✭ 21 (-79.81%)
Slim-AuthA Slim 4 Skeleton.
Stars: ✭ 22 (-78.85%)
SLiMSLiM is a genetically explicit forward simulation software package for population genetics and evolutionary biology. It is highly flexible, with a built-in scripting language, and has a cross-platform graphical modeling environment called SLiMgui.
Stars: ✭ 102 (-1.92%)
slim3-api-skeletonSlim 3 API Skeleton with content negotiation, authentication, error handling, cache and performance in mind.
Stars: ✭ 12 (-88.46%)
medium blogsmedium blog supplementaries | Backprop | Resnet & ResNext | RNN |
Stars: ✭ 69 (-33.65%)
BMW-IntelOpenVINO-Detection-Inference-APIThis is a repository for a No-Code object detection inference API using the OpenVINO. It's supported on both Windows and Linux Operating systems.
Stars: ✭ 66 (-36.54%)
slim-nette-extensionNette Extension for Slim API micro-framework using middlewares.
Stars: ✭ 17 (-83.65%)
ReZero-ResNetUnofficial pytorch implementation of ReZero in ResNet
Stars: ✭ 23 (-77.88%)
slim-php-diSlim Framework PHP-DI container integration
Stars: ✭ 13 (-87.5%)
PyTorch-LMDBScripts to work with LMDB + PyTorch for Imagenet training
Stars: ✭ 49 (-52.88%)
pb-gcnCode for the BMVC paper (http://bmvc2018.org/contents/papers/1003.pdf)
Stars: ✭ 32 (-69.23%)
SAN[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images
Stars: ✭ 41 (-60.58%)
awesome-computer-vision-modelsA list of popular deep learning models related to classification, segmentation and detection problems
Stars: ✭ 419 (+302.88%)
ModelZoo.pytorchHands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟
Stars: ✭ 42 (-59.62%)
gluon2pytorchGluon to PyTorch deep neural network model converter
Stars: ✭ 72 (-30.77%)
Look4FaceDemo of Face Recognition web service
Stars: ✭ 23 (-77.88%)
SlimRESTAn app skeleton for building a REST API with the Slim PHP Micro-Framework
Stars: ✭ 22 (-78.85%)
Nearest-Celebrity-FaceTensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.
Stars: ✭ 30 (-71.15%)
neural-dreamPyTorch implementation of DeepDream algorithm
Stars: ✭ 110 (+5.77%)
DMPfoldDe novo protein structure prediction using iteratively predicted structural constraints
Stars: ✭ 52 (-50%)
simpleAICV-pytorch-ImageNet-COCO-trainingSimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.
Stars: ✭ 276 (+165.38%)
resnet-ensembleEnsemble code for Resnet in Tensorflow slim
Stars: ✭ 14 (-86.54%)
External-Attention-pytorch🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Stars: ✭ 7,344 (+6961.54%)
MVCNN-PyTorchNo description or website provided.
Stars: ✭ 79 (-24.04%)
RecSys Course 2017DEPRECATED This is the official repository for the 2017 Recommender Systems course at Polimi.
Stars: ✭ 23 (-77.88%)
bird species classificationSupervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data
Stars: ✭ 59 (-43.27%)
GraphQLSuiteCRMGraphQL SuiteCRM - Integrate with SuiteCRM using GraphQL
Stars: ✭ 18 (-82.69%)
Water-classifier-fastaiDeploy your Flask web app classifier on Heroku which is written using fastai library.
Stars: ✭ 37 (-64.42%)
PLSCPaddle Large Scale Classification Tools,supports ArcFace, CosFace, PartialFC, Data Parallel + Model Parallel. Model includes ResNet, ViT, DeiT, FaceViT.
Stars: ✭ 113 (+8.65%)
middleman-startaeA starter template ready to run on Netlify or Heroku. Comes with several helpers, partials and a nice basic structure to the HTML, Sass, Webpack and ES2015. Bottom line, a template that uses all the modern tools.
Stars: ✭ 43 (-58.65%)
rawphpA powerful, robust and API-first, PHP framework that helps people from different PHP backgrounds work on the same project seamlessly. You can write Laravel, CakePHP, Slim, Symphone and Procedural PHP code inside it and it all works perfectly. Its the PHP Framework for everyone.
Stars: ✭ 31 (-70.19%)
AESRC2020a deep accent recognition network
Stars: ✭ 35 (-66.35%)
video featuresExtract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.
Stars: ✭ 225 (+116.35%)
LibtorchTutorialsThis is a code repository for pytorch c++ (or libtorch) tutorial.
Stars: ✭ 463 (+345.19%)
CoreML-samplesSample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
Stars: ✭ 38 (-63.46%)
neuralBlackA Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework
Stars: ✭ 36 (-65.38%)