linyu's repositories
computer-vision-in-action
《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（更新中，可以先 star）
RAMS-Trans
RAMS-Trans: Recurrent Attention Multi-scale Transformer for Fine-grained Image Recognition
AdversarialNetsPapers
Awesome paper list with code about generative adversarial nets
Awesome-ICCV2019
ICCV2019最新录用情况
awesome-knowledge-distillation
Awesome Knowledge Distillation
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
Awesome-NAS
A curated list of neural architecture search (NAS) resources.
clone_anonymous_github
clone/download repositories from https://anonymous.4open.science/
coding-interview-university
A complete computer science study plan to become a software engineer.
CondenseNet
CondenseNet: Light weighted CNN for mobile devices
cycle-consistent-vae
This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (https://arxiv.org/abs/1804.10469), which was accepted at ECCV 2018.
DALI
A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications
darts
Differentiable architecture search for convolutional and recurrent networks
DataLoaders_DALI
PyTorch DataLoaders implemented with DALI for accelerating image preprocessing
DeepClustering
Deep Clustering
DeepLearning_tutorials
The deeplearning algorithms implemented by tensorflow
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
FairDARTS
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
geo_prior
Presence-Only Geographical Priors for Fine-Grained Image Classification - ICCV 2019
GNNPapers
Must-read papers on graph neural networks (GNN)
human-model-similarity
Human-model similarity: A neurobiological evaluation metric for neural network model search
knowledge-distillation-pytorch
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
pdarts
Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
ProxylessNAS
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.
pt.darts
PyTorch Implementation of DARTS: Differentiable Architecture Search
Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
yolov3-channel-and-layer-pruning
yolov3 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏