DepthwiseconvolutionA personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)
Stars: ✭ 512 (-57.93%)
O CnnO-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
Stars: ✭ 432 (-64.5%)
Fashion ParsingRepository of my fashion-parsing project. This project is put on hold since I am doing another project now, but will debug if bugs are reported.
Stars: ✭ 50 (-95.89%)
Gpu Rest EngineA REST API for Caffe using Docker and Go
Stars: ✭ 412 (-66.15%)
Switchable NormalizationCode for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779
Stars: ✭ 804 (-33.94%)
Computer VisionProgramming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 408 (-66.47%)
GocvGo package for computer vision using OpenCV 4 and beyond.
Stars: ✭ 4,511 (+270.67%)
Tf Pose EstimationDeep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
Stars: ✭ 3,856 (+216.84%)
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 (-95.97%)
DeepnetsforeoDeep networks for Earth Observation
Stars: ✭ 393 (-67.71%)
DrboxA deep learning based algorithm to detect rotated object, for example, objects in remote sensing images
Stars: ✭ 379 (-68.86%)
Mtcnnface detection and alignment with mtcnn
Stars: ✭ 66 (-94.58%)
Keras Idiomatic ProgrammerBooks, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Stars: ✭ 720 (-40.84%)
ImagenetTrial on kaggle imagenet object localization by yolo v3 in google cloud
Stars: ✭ 56 (-95.4%)
Tf Faster RcnnTensorflow Faster RCNN for Object Detection
Stars: ✭ 3,604 (+196.14%)
Seg MentorTFslim based semantic segmentation models, modular&extensible boutique design
Stars: ✭ 43 (-96.47%)
NormfaceNormFace: L2 HyperSphere Embedding for Face Verification, 99.21% on LFW
Stars: ✭ 359 (-70.5%)
Face verification experimentOriginal Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)
Stars: ✭ 712 (-41.5%)
FeathercnnFeatherCNN is a high performance inference engine for convolutional neural networks.
Stars: ✭ 1,106 (-9.12%)
Mtcnn CaffeJoint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
Stars: ✭ 499 (-59%)
Tensorflow object tracking videoObject Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition
Stars: ✭ 491 (-59.65%)
Tensorflow model slim classifyTrain/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet
Stars: ✭ 41 (-96.63%)
Mobilefacenet V2🔥improve the accuracy of mobilefacenet(insight face) reached 99.733 in the cfp-ff、 the 99.68+ in lfw,96.71+ in agedb30.🔥
Stars: ✭ 339 (-72.14%)
Mobilenet CoremlThe MobileNet neural network using Apple's new CoreML framework
Stars: ✭ 678 (-44.29%)
Rectlabel SupportRectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
Stars: ✭ 338 (-72.23%)
SegmentronSupport PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
Stars: ✭ 490 (-59.74%)
Ssd Models把极速检测器的门槛给我打下来make lightweight caffe-ssd great again
Stars: ✭ 62 (-94.91%)
Fabrik🏭 Collaboratively build, visualize, and design neural nets in browser
Stars: ✭ 1,081 (-11.18%)
Flownet2FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Stars: ✭ 938 (-22.93%)
RandwirennImplementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
Stars: ✭ 675 (-44.54%)
Nn toolsNeural Network Tools: Converter and Analyzer. For caffe, pytorch, draknet and so on.
Stars: ✭ 334 (-72.56%)
LearningThe data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.
Stars: ✭ 330 (-72.88%)
Person searchJoint Detection and Identification Feature Learning for Person Search
Stars: ✭ 666 (-45.28%)
Mace ModelsMobile AI Compute Engine Model Zoo
Stars: ✭ 329 (-72.97%)
One Pixel Attack KerasKeras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Stars: ✭ 1,097 (-9.86%)
Efficientnet PytorchA PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
Stars: ✭ 6,685 (+449.3%)
Largemargin softmax lossImplementation for <Large-Margin Softmax Loss for Convolutional Neural Networks> in ICML'16.
Stars: ✭ 319 (-73.79%)
Bottom Up AttentionBottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Stars: ✭ 989 (-18.73%)
Assembled CnnTensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
Stars: ✭ 319 (-73.79%)
Pinto model zooA repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]
Stars: ✭ 634 (-47.9%)
ArtosAdaptive Real-Time Object Detection System with HOG and CNN Features
Stars: ✭ 64 (-94.74%)
Pnasnet.pytorchPyTorch implementation of PNASNet-5 on ImageNet
Stars: ✭ 309 (-74.61%)
Constrained attention filter(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks
Stars: ✭ 36 (-97.04%)
SynthesizingCode for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"
Stars: ✭ 474 (-61.05%)
Nideepcollection of utilities to use with deep learning libraries (e.g. caffe)
Stars: ✭ 25 (-97.95%)
LiteflownetLiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
Stars: ✭ 474 (-61.05%)
RobustnessCorruption and Perturbation Robustness (ICLR 2019)
Stars: ✭ 463 (-61.96%)
Yolov4 PytorchThis is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
Stars: ✭ 1,070 (-12.08%)