x2ss

x2ss

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Location:Shanghai

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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.

Deformable-Convolution-V2-PyTorch

Deformable ConvNets V2 in PyTorch

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DRIT

Learning diverse image-to-image translation from unpaired data

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FPN_Tensorflow-1

This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.

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imgaug

Image augmentation for machine learning experiments.

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keras-global-context-networks

Keras implementation of Global Context Attention blocks

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pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

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Reproducible-Deep-Compressive-Sensing

Collection of reproducible deep learning for compressive sensing

segmentation_models

Segmentation models with pretrained backbones. Keras.

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Tensorflow-Unet

U-Net implementation in TensorFlow for image segmentation(multi class and Resnet50 backbone)

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AlphaPose

Real-Time Multi-Person Pose Estimation System

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BEVFusion

Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

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center_loss_classification

Implementation resnet and center-loss in Tensorflow

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computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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GANimation

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

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Meta-SR-Pytorch

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)

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mmdetection

Open MMLab Detection Toolbox and Benchmark

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Monocular-Depth-Estimation-Toolbox

Monocular Depth Estimation Toolbox based on MMSegmentation.

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multispectral-object-detection

Multispectral Object Detection with Yolov5 and Transformer

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prepare_detection_dataset

convert dataset to coco/voc format

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Semantic-Segmentation-Suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

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Slow-Fast-pytorch-implementation

Action recognition using Slow Fast Network by FAIR

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SlowFast-Network-pytorch

An easy PyTorch implement of SlowFast-Network

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stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

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unifiedparsing

Codebase and pretrained models for ECCV'18 Unified Perceptual Parsing

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yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS

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