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simenglv's Projects

deep_gcns icon deep_gcns

Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

deeplearningpython35 icon deeplearningpython35

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

defcn icon defcn

End-to-End Object Detection with Fully Convolutional Network

detectron icon detectron

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

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

detr icon detr

End-to-End Object Detection with Transformers

dlwpt-code icon dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

edsr-pytorch icon edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

edsr-ssim icon edsr-ssim

Different SSIM metrics in CNN-based super resolution algorithms (e.g., EDSR CVPRW2017, RDN CVPR2018, MSRN ECCV2018).

einops icon einops

Deep learning operations reinvented (for pytorch, tensorflow, chainer, gluon and others)

enas icon enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

enas-pytorch icon enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

essaykiller_v2 icon essaykiller_v2

基于开源GPT2.0的初代创作型人工智能 | 可扩展、可进化

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

faceswap-1 icon faceswap-1

Python script to put facial features from one face onto another

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