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awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

caffe-hrt

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

caffe-segnet-cudnn5

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks

darknet

Convolutional Neural Networks

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

hzproc

torch data augmentation toolbox (supports affine transform)

labelme

Image Polygonal Annotation with Python.

lintcode

Java Solutions to problems on LintCode/LeetCode

machine-learning

manuscript-dating

ml-examples

Arm Machine Learning tutorials and examples

new-pac

scikit-learn

scikit-learn: machine learning in Python

slam_test

structure

deeplab structure

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-deeplab-resnet

DeepLab-ResNet rebuilt in TensorFlow

tensorflow-deeplab-v3

DeepLabv3 built in TensorFlow

tensorflow-enet

TensorFlow implementation of ENet

tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版

vigenere