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models

Models and examples built with TensorFlow

mr

multirunner

This is a python package for multi-process running.

network-slimming

Network Slimming (Pytorch)

noisy_teacher

Implementation of model compression with knowledge distilling method.

opencv

Open Source Computer Vision Library

opencv2-python-tutorials

This repo contains tutorials on OpenCV-Python library using new cv2 interface

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pocketflow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

pose_paper

ppcn

Tensorflow implementation of Perception-Preserving Convolutional Networks for Image Enhancement on Smartphones (ECCV 2018 Workshop PIRM)

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pwc-net

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

python-optical-flow-tracking

Using Optical Flow for Detection Motion object.

pythontools

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-i3d

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

quantized_distillation

Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"

readme

README文件语法解读，即Github Flavored Markdown语法介绍

replayed_distillation

Implementation of Data-free Knowledge Distillation for Deep Neural Networks (on arxiv soon!)

resnet-in-tensorflow

Re-implement Kaiming He's deep residual networks in tensorflow. Can be trained with cifar10.

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

senet

Squeeze-and-Excitation Networks

shufflenet_v2_pytorch_caffe

ShuffleNet-V2 for both PyTorch and Caffe.

slimda

An official implementation of CVPR 2022 paper "Slimmable Domain Adaptation".

slimmable_networks

Slimmable Networks, ICLR 2019

slimming-pytorch

Pytorch Implementationg of “Learning Efficient Convolutional Networks through Network Slimming”