#imagenet (17 Repositories)
Ranked open-source repositories tagged with #imagenet, scored by pull request acceptance likelihood and maintainer engagement velocity.
11.8%
41.3h
17 repositories tagged #imagenet
open-edge-platform/datumaro
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
yoshitomo-matsubara/torchdistill
A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods presented at TPAMI, CVPR, ICLR, ECCV, NeurIPS, ICCV, AAAI, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
microsoft/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Cadene/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
BIGBALLON/PyTorch-CPP
PyTorch C++ inference with LibTorch
mehtadushy/SelecSLS-Pytorch
Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".
d-li14/efficientnetv2.pytorch
PyTorch implementation of EfficientNetV2 family
apple/ml-cvnets
CVNets: A library for training computer vision networks
NVlabs/FAN
Official PyTorch implementation of Fully Attentional Networks
Alibaba-MIIL/TResNet
Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
gaohuang/MSDNet
Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）
huawei-noah/Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
huawei-noah/AdderNet
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
apple-aiml-research/ml-cvnets
CVNets: A library for training computer vision networks
switchablenorms/Switchable-Normalization
Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779
bearpaw/pytorch-classification
Classification with PyTorch.