TensorlayerDeep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
Stars: ✭ 6,796 (+5048.48%)
Ml5 LibraryFriendly machine learning for the web! 🤖
Stars: ✭ 5,280 (+3900%)
Caffe ModelCaffe models (including classification, detection and segmentation) and deploy files for famouse networks
Stars: ✭ 1,258 (+853.03%)
Caffenet BenchmarkEvaluation of the CNN design choices performance on ImageNet-2012.
Stars: ✭ 700 (+430.3%)
Imagenetv2A new test set for ImageNet
Stars: ✭ 109 (-17.42%)
Meal V2MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks
Stars: ✭ 534 (+304.55%)
BiglittlenetOfficial repository for Big-Little Net
Stars: ✭ 57 (-56.82%)
Constrained attention filter(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks
Stars: ✭ 36 (-72.73%)
Class Balanced LossClass-Balanced Loss Based on Effective Number of Samples. CVPR 2019
Stars: ✭ 433 (+228.03%)
Imagenetscraper👁 Bulk-download all thumbnails from an ImageNet synset, with optional rescaling
Stars: ✭ 24 (-81.82%)
PetridishnnCode for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
Stars: ✭ 112 (-15.15%)
Pytorch image classificationPyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
Stars: ✭ 795 (+502.27%)
RandwirennImplementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
Stars: ✭ 675 (+411.36%)
ImagenetThis implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
Stars: ✭ 126 (-4.55%)
Label StudioLabel Studio is a multi-type data labeling and annotation tool with standardized output format
Stars: ✭ 7,264 (+5403.03%)
One Pixel Attack KerasKeras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Stars: ✭ 1,097 (+731.06%)
MmclassificationOpenMMLab Image Classification Toolbox and Benchmark
Stars: ✭ 532 (+303.03%)
GhostnetCV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
Stars: ✭ 1,744 (+1221.21%)
RobustnessCorruption and Perturbation Robustness (ICLR 2019)
Stars: ✭ 463 (+250.76%)
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.
Stars: ✭ 54 (-59.09%)
Neural Backed Decision TreesMaking decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Stars: ✭ 411 (+211.36%)
Hbonet[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions
Stars: ✭ 94 (-28.79%)
DcganPorting pytorch dcgan on FloydHub
Stars: ✭ 21 (-84.09%)
Ir NetThis project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.
Stars: ✭ 119 (-9.85%)
Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
Stars: ✭ 85 (-35.61%)
Mini ImagenetGenerate mini-ImageNet with ImageNet for fewshot learning
Stars: ✭ 22 (-83.33%)
RegnetPytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"
Stars: ✭ 129 (-2.27%)
Switchable NormalizationCode for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779
Stars: ✭ 804 (+509.09%)
Mobilenet CaffeCaffe Implementation of Google's MobileNets (v1 and v2)
Stars: ✭ 1,217 (+821.97%)
AddernetCode for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
Stars: ✭ 722 (+446.97%)
MocoUnofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
Stars: ✭ 112 (-15.15%)
Pytorch2kerasPyTorch to Keras model convertor
Stars: ✭ 676 (+412.12%)
ArtosAdaptive Real-Time Object Detection System with HOG and CNN Features
Stars: ✭ 64 (-51.52%)
Efficientnet PytorchA PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
Stars: ✭ 6,685 (+4964.39%)
Vision4j CollectionCollection of computer vision models, ready to be included in a JVM project
Stars: ✭ 132 (+0%)
Tf Hrnettensorflow implementation for "High-Resolution Representations for Labeling Pixels and Regions"
Stars: ✭ 61 (-53.79%)
CvatPowerful and efficient Computer Vision Annotation Tool (CVAT)
Stars: ✭ 6,557 (+4867.42%)
Lemniscate.pytorchUnsupervised Feature Learning via Non-parametric Instance Discrimination
Stars: ✭ 532 (+303.03%)
Big transferOfficial repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Stars: ✭ 1,096 (+730.3%)
FishnetImplementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018
Stars: ✭ 533 (+303.79%)
PyramidnetTorch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
Stars: ✭ 121 (-8.33%)
Tensorflow object tracking videoObject Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition
Stars: ✭ 491 (+271.97%)
ImagenetTrial on kaggle imagenet object localization by yolo v3 in google cloud
Stars: ✭ 56 (-57.58%)
MsdnetMulti-Scale Dense Networks for Resource Efficient Image Classification (ICLR 2018 Oral)
Stars: ✭ 443 (+235.61%)
Pnasnet.tfTensorFlow implementation of PNASNet-5 on ImageNet
Stars: ✭ 102 (-22.73%)
Pretrained Models.pytorchPretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Stars: ✭ 8,318 (+6201.52%)
AognetCode for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"
Stars: ✭ 132 (+0%)
Pytorch Imagenet Cifar Coco Voc TrainingTraining examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.
Stars: ✭ 130 (-1.52%)
LabelboxLabelbox is the fastest way to annotate data to build and ship computer vision applications.
Stars: ✭ 1,588 (+1103.03%)
Vovnet.pytorchA pytorch implementation of VoVNet
Stars: ✭ 101 (-23.48%)
SegmentationcppA c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
Stars: ✭ 49 (-62.88%)