zerojiang's repositories
Dummy-Robot
我的超迷你机械臂机器人项目。
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
pytorch-loss
label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
pytorch-ssim
pytorch structural similarity (SSIM) loss
SimpleCVReproduction
Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking :smile: etc.
DCRN-2021
Dual Channel Residual Network for Hyperspectral Image Classification with Noisy Labels
ASSMN
The code implementation of our paper "Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification" (IEEE TGRS, 2020).
A2S2K-ResNet
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
HybridSN
A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
polar-transformer-networks
Demo source code for the paper "Esteves, C., Allen-Blanchette, C., Zhou, X. and Daniilidis, K, "Polar Transformer Networks", ICLR 2018.
Convolutional_LSTM_PyTorch
Multi-layer convolutional LSTM with Pytorch
triplet-loss-pytorch
A generic triplet data loader for image classification problems,and a triplet loss net demo.
ConvLSTM_pytorch
Implementation of Convolutional LSTM in PyTorch.
cqupt-mirrors-howto
重邮开源镜像使用帮助文档
Keras-GAN
Keras implementations of Generative Adversarial Networks.
Class-balanced-loss-pytorch
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
HSI-datasets
Hyperspectral Remote Sensing Scenes
keras-applications
Reference implementations of popular deep learning models.
Deep-Learning-with-TensorFlow-book
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
classification_models
Classification models trained on ImageNet. Keras.
hyperspectral_deeplearning_review
Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"
HyFTech-Hyperspectral-Shallow-Deep-Feature-Extraction-Toolbox
This Toolbox includes Hyperspectral Feature Extraction Techniques including Unsupervised, Supervised, and Deep Feature Extraction
conv-emotion
This repo contains implementation of different architectures for emotion recognition in conversations
Pedestrain-Detection--Faster-RCNN
Keras implementation of Pedestrian detection and classification using Faster RCNN model.
SSUN
Spectral-Spatial Unified Networks for Hyperspectral Image Classification