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auto-dynamic-deeplab

[IROS 2021] ADD: A Fine-grained Dynamic Inference Architecture for Semantic Image Segmentation

autodeeplab

Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation

autokeras

Accessible AutoML for deep learning.

automl

AutoDeeplab / auto-deeplab / Hierarchical Neural Architecture Search implemented in Pytorch

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

bedis-gateway

A smart gateway to the indoor position system. It provides ability of health monitor, network initialization and micro-server.

darts

Differentiable architecture search for convolutional and recurrent networks

ddnn

deeplab_pytorch

All version of deeplab implemented in Pytorch

deeplog

Pytorch Implementation of DeepLog.

direct

Mobile Disaster Record Capture Tool (DiReCT) is used by trained professionals to capture and record observational data during disasters and emergencies.

discovery_obj_move

distnas-for-semantic-segmentation

Distributed Network Architecture Search

dvsnet

Modified implementation for DVSNet based on Tensorflow

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

hank-kung.github.io

hrnet-semantic-segmentation

High-resolution representation learning (HRNets) for Semantic Segmentation

keras

Deep Learning for humans

lbeacon-gateway

A smart gateway to the indoor position system. It provides ability of health monitor, network initialization and micro-server.

lbeacon-zigbee

lift-splat-shoot

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

logdeep

log anomaly detection toolkit including DeepLog

logpred

models

Models and examples built with TensorFlow

mono-semantic-maps

moodsic_mobile

neat

[ICCV'21] NEAT: Neural Attention Fields for End-to-End Autonomous Driving

nthu-nlp

panopticbev

proxylessnas

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. https://arxiv.org/abs/1812.00332