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image-classification-rnn

Classify MNIST image dataset into 10 classes. Build an image classifier with Recurrent Neural Network (RNN: LSTM) on Tensorflow.

indian_elm_lbp_test

LBP+ELM应用于高光谱的分类器

keras-drop-block

DropBlock implemented in Keras

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-gcn

Keras implementation of Graph Convolutional Networks

keras-image-classifer-framework

a general image classifer framework written by Keras

keras-resnet

Residual networks implementation using Keras-1.0 functional API

keras-resnet3d

Implementations of ResNets for volumetric data, including a vanilla resnet in 3D.

ku8eye

l-bfgs-b-c

L-BFGS-B, converted from Fortran to C, with Matlab wrapper

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mr-yuppie.github.io

msdnet-gcn

ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction

nameko-example

Code for example in this post: http://brunorocha.org/python/microservices-with-python-rabbitmq-and-nameko.html

omniglot

Omniglot data set for one-shot learning

paddledetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

palm

a Fast, Flexible, Extensible and Easy-to-use NLP Large-scale Pretraining and Multi-task Learning Framework.

prototypical-network-pytorch

A re-implementation of "Prototypical Networks for Few-shot Learning"

prototypical-networks

Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

resnet-1k-layers

Deep Residual Networks with 1K Layers

resnet-cppn-gan-tensorflow

Using Residual Generative Adversarial Networks and Variational Auto-encoder techniques to produce high resolution images.

rit-18

High-Resolution Multispectral Dataset for Semantic Segmentation

rsipnote

RSIP学习记录

sar.ai

:satellite: Multi-Level Pattern Histogram for Synthetic-Aperture Radar (SAR) image classification into terrain classes.

satellite-image-segment

卫星影像的AI分类与识别 BDCI 比赛

self-paced-learning

自步学习

senet

Squeeze-and-Excitation Networks

senet-keras

Naive implementation of SENet in Keras

sic_spbl-master

将LBP特征提取与自步学习相结合应用到海冰分类中