ddeeppnneett

ddeeppnneett

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ddeeppnneett's repositories

AutoML

AutoDeeplab / auto-deeplab / Hierarchical Neural Architecture Search / AutoML for semantic segmentation, implemented in Pytorch

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awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

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Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

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BASNet

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

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CapsGNN

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

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custom-scripts

A repository of custom scripts to be used with Sentinel Hub

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darts-multi_gpu

Differentiable architecture search for convolutional and recurrent networks

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EfficientNets-PyTorch

A PyTorch implementation of " EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks."

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Fast-SCNN

Unofficial implementation of Fast-SCNN: Fast Semantic Segmentation Network

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Global-Second-order-Pooling-Convolutional-Networks

Global Second-order Pooling Convolutional Networks (cvpr2019 GSoP)

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Lightweight-Segmentation

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

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lookahead.pytorch

lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch

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MaskTrack_Box

This is simple implementation of MaskTrack_Box only requiring a bounding box for video object segmentation.

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ML_GCN

PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

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NAS-FCOS

NAS-FCOS: Fast Neural Architecture Search for Object Detection

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nas-segm-pytorch

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

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PC-DARTS

Partial Channel Connections for Memory-Efficient Differentiable Architecture Search

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pdarts

Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"

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ProxylessNAS

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.

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pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

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pytorch-crf

Conditional random field in PyTorch.

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pytorch-lookahead-optimizer

[WIP] An implementation of arXiv:1907.08610

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RAdam

On The Variance Of The Adaptive Learning Rate And Beyond

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Ranger-Deep-Learning-Optimizer

Ranger - a synergistic optimizer using RAdam (Rectified Adam) and LookAhead in one codebase

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SCARLET-NAS

Bridging the gap Between Scalability and Fairness in Neural Architecture Search

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second.pytorch

SECOND for KITTI/NuScenes object detection

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segmentation_models

Segmentation models with pretrained backbones. Keras.

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Single-Path-NAS-PyTorch

PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"

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Single-Path-One-Shot-NAS

SPOS(Single Path One-Shot Neural Architecture Search with Uniform Sampling) rebuilt in Pytorch with single GPU.

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Synchronized-BatchNorm-PyTorch

Synchronized Batch Normalization implementation in PyTorch.

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