Pinned Repositories
Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
attribute-aware-attention
[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning
cpp-pytorch
A bite of cpp api in PyTorch-1.0
euro2016predictor
Soccer Matches Predictor using Machine Learning
Full-Stack-Filters
Pytorch code for paper: Full-Stack Filters to Build Minimum Viable CNNs
ghostnet.pytorch
[CVPR2020] GhostNet: More Features from Cheap Operations
mini-dnn-cpp
C++ demo of deep neural networks (MLP, CNN)
vehicle-retrieval-kCNNs
vehicle image retrieval using k CNNs ensemble method
Versatile-Filters
Pytorch code for paper: Learning Versatile Filters for Efficient Convolutional Neural Networks (NeurIPS 2018)
iamhankai's Repositories
iamhankai/ghostnet.pytorch
[CVPR2020] GhostNet: More Features from Cheap Operations
iamhankai/cpp-pytorch
A bite of cpp api in PyTorch-1.0
iamhankai/attribute-aware-attention
[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning
iamhankai/vehicle-retrieval-kCNNs
vehicle image retrieval using k CNNs ensemble method
iamhankai/Versatile-Filters
Pytorch code for paper: Learning Versatile Filters for Efficient Convolutional Neural Networks (NeurIPS 2018)
iamhankai/euro2016predictor
Soccer Matches Predictor using Machine Learning
iamhankai/mini-dnn-cpp
C++ demo of deep neural networks (MLP, CNN)
iamhankai/Full-Stack-Filters
Pytorch code for paper: Full-Stack Filters to Build Minimum Viable CNNs
iamhankai/voiceMusicSeparation
Voice Music Separation competing for 6th Huawei Cup in ZJU
iamhankai/ssd-pytorch
SSD in a single pytorch file
iamhankai/AutoBNN
iamhankai/AEFS
Code for paper "Autoencoder Inspired Unsupervised Feature Selection"
iamhankai/Binary-Neural-Networks
Binary neural networks developed by Huawei Noah's Ark Lab
iamhankai/blog
my blog
iamhankai/CMT.pytorch
Pytorch implementation of our CVPR 2022 paper CMT: Convolutional Neural Networks Meet Vision Transformers (https://arxiv.org/pdf/2107.06263.pdf).
iamhankai/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
iamhankai/Efficient-Computing
Efficient computing methods developed by Huawei Noah's Ark Lab
iamhankai/iamhankai.github.io
iamhankai/jd-seckill-maotai
京东茅台抢购最新优化版本，京东秒杀，添加误差时间调整，优化了茅台抢购进程队列
iamhankai/learn-cmake
iamhankai/pepenude
PepeNude is an application that allows you to transform photos into entertaining results. CLI and GUI versions available.
iamhankai/Pruning
Code for "Co-Evolutionary Compression for Unpaired Image Translation" (ICCV 2019), "SCOP: Scientific Control for Reliable Neural Network Pruning" (NeurIPS 2020) and “Manifold Regularized Dynamic Network Pruning” (CVPR 2021).
iamhankai/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
iamhankai/tflearn
Deep learning library featuring a higher-level API for TensorFlow.