Beast code in Giters

Practice 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)

Language:Python404200

pytorch-gradcam-resnet50

CAM图的resnet50版本

Language:Python14600

awesome-human-pose-estimation

A collection of awesome resources in Human Pose estimation.

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learnopencv

Learn OpenCV : C++ and Python Examples

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Det3D

World's first general purpose 3D object detection codebse.

Language:PythonApache-2.0147200

YOLOv3-model-pruning

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）

Language:PythonMIT166800

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

Language:PythonMIT773600

EfficientDet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

Language:PythonApache-2.0136800

pytorch-examples

Simple examples to introduce PyTorch

Language:PythonMIT463100

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

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micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

Language:PythonMIT219100

Efficient-Segmentation-Networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

Language:PythonMIT87500