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adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

caffe-layer

implementation of some layers in caffe

celeba

Project in Advanced Computer Vision course in NTU

clrs

:notebook:Solutions to Introduction to Algorithms

distributed-computing

distributed_computing include mapreduce kvstore etc.

dl_biomedicine_image

PRP project, use DL in biomedicine image

dsa

study dsa

exposure-fusion-shadow-removal

We propose a new method for effective shadow removal by regarding it as an exposure fusion problem.

gbnas

gradient base nas

grindingtrajectoryplanning

My graduation project in SJTU

hadoop-book

Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White

imagenet

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

indoor-location

AI6128 Urban computing project

lingua

For linguitic researches

lyft

Kaggle competition

mimt_model

use deep nn for mimt task in images classification

mlcnet

mmcv

OpenMMLab Computer Vision Foundation

mmdetection

Open MMLab Detection Toolbox

models

Models and examples built with TensorFlow

nas

Neural architecture search(NAS)

notes

opticalflow_visualization

Python optical flow visualization following Baker et al. (ICCV 2007) as used by the MPI-Sintel challenge

paddleseg

papers

List of papers related to shadowsocks

pocketflow

An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

pttr

Pytorch Implementation of PTTR: Relational 3D Point Cloud Object Tracking with Transformer

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.