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caffe

Caffe: a fast open framework for deep learning.

carnd-vehicle-detection

Vehicle Detection Project

cascade_fpn_tensorflow

Cascade R-CNN: Delving into High Quality Object Detection.

deep-learning-ocean

:satellite: All You Need to Know About Deep Learning - A kick-starter

deep-transfer-learning

Deep Transfer Learning Papers

deepdomainadaptation

Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DANN (domain-adversarial neural network), Deep JDOT (joint distribution optimal transportation)

deepglobe_land_cover_classification_with_deeplabv3

DeepGlobe Land Cover Classification Challenge

distillation

docs

dbrg 深度学习服务器相关文档

domainbed

DomainBed is a suite to test domain generalization algorithms

faster-rcnn-tensorflow-python3

Tensorflow Faster R-CNN for Windows/Linux and Python 3 (3.5/3.6/3.7)

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

generative-models

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

gitskills

info

养料

learngit

marta-gan

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

mfcshowvideotest

第三届**软件杯决赛视频分析系统赛题，vc++,opencv,svm等算法。对视频中的车牌进行定位和识别

models

Models and examples built with TensorFlow

polsf

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

quantized_distillation

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

sar_specific_models

semantic-segmentation-tensorflow

This repository include some semantic segmentation models, which are implemented by tensorflow.

transfer-learning-library

Transfer-Learning-Library

transferlearning

Everything about Transfer Learning and Domain Adaptation--迁移学习

vehicle-detection-yolo-keras

yolo_save_subimages

Save the detected object images in a Yolo detection