我的超迷你机械臂机器人项目。

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

OpenMMLab Text Detection, Recognition and Understanding Toolbox

S. Liu, Q. Shi and L. Zhang, "Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TG…

pytorch structural similarity (SSIM) loss

Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking 😄 etc.

Dual Channel Residual Network for Hyperspectral Image Classification with Noisy Labels

The code implementation of our paper "Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification" (IEEE TGRS, 2020).

A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification

A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".

Demo source code for the paper "Esteves, C., Allen-Blanchette, C., Zhou, X. and Daniilidis, K, "Polar Transformer Networks", ICLR 2018.

Multi-layer convolutional LSTM with Pytorch

A generic triplet data loader for image classification problems,and a triplet loss net demo.

Implementation of Convolutional LSTM in PyTorch.

重邮开源镜像使用帮助文档

Keras implementations of Generative Adversarial Networks.

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

Hyperspectral Remote Sensing Scenes

Reference implementations of popular deep learning models.

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 trained on ImageNet. Keras.

Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"

This Toolbox includes Hyperspectral Feature Extraction Techniques including Unsupervised, Supervised, and Deep Feature Extraction

This repo contains implementation of different architectures for emotion recognition in conversations

Keras implementation of Pedestrian detection and classification using Faster RCNN model.

Spectral-Spatial Unified Networks for Hyperspectral Image Classification