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LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Segmentation models with pretrained backbones. PyTorch.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
A treasure chest for visual classification and recognition powered by PaddlePaddle
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Official DeiT repository
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
Tencent Ml Images
Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet
Differentiable architecture search for convolutional and recurrent networks
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
Flops counter for convolutional networks in pytorch framework
Sandbox for training deep learning networks
Implementation of EfficientNet model. Keras and TensorFlow Keras.
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
CVNets: A library for training computer vision networks
PyTorch implementation of SENet
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
This is a collection of our NAS and Vision Transformer work.
Official Implementation of 'Fast AutoAugment' in PyTorch.
Deep Clustering for Unsupervised Learning of Visual Features
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
Deep Feature Flow
Deep Feature Flow for Video Recognition
Classification with PyTorch.
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
Data Efficient Gans
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
Caffe Implementation of Google's MobileNets (v1 and v2)
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
A toolbox to iNNvestigate neural networks' predictions!
Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MN
PyTorch Implementation of "Lossless Image Compression through Super-Resolution"
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
Fine-tune CNN in Keras
[ECCV 2020] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis
A quickstart and benchmark for pytorch distributed training.
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
Personalized federated learning simulation platform with non-IID and unbalanced dataset
GANs with spectral normalization and projection discriminator
EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
A pytorch re-implementation of Real-time Scene Text Detection with Differentiable Binarization
My best practice of training large dataset using PyTorch.
ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
Dl Engineer Guidebook
Hrnet Image Classification
Train the HRNet model on ImageNet
Corruption and Perturbation Robustness (ICLR 2019)
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
Neural Network Compression Framework for enhanced OpenVINO™ inference
Classification models trained on ImageNet. Keras.
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
CondenseNet: Light weighted CNN for mobile devices
EfficientViT is a new family of vision models for efficient high-resolution vision.
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/pap
Non-official implement of Paper：CBAM: Convolutional Block Attention Module
Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019
Flow Guided Feature Aggregation
Flow-Guided Feature Aggregation for Video Object Detection
Official Pytorch implementation of CutMix regularizer
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Pytorch Cnn Finetune
Fine-tune pretrained Convolutional Neural Networks with PyTorch
Instance-Batch Normalization Networks (ECCV2018)
⏬ Utils to help download images by id, crop bounding box, label images, etc.
Weakly Supervised Learning On Images
Unofficial PyTorch Reimplementation of RandAugment.
A simple method to perform semi-supervised learning with limited data.
PyTorch API for GluonCV Models
DenseNet Implementation in Keras with ImageNet Pretrained Models
Code for paper
Dual Path Networks
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018
Imagenet Adversarial Training
ImageNet classifier with state-of-the-art adversarial robustness
Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,effi alias kecam
A New Optimization Technique for Deep Neural Networks
Code for Noisy Student Training. https://arxiv.org/abs/1911.04252
Filter Pruning Geometric Median
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
Reproduce ResNet-v2(Identity Mappings in Deep Residual Networks) with MXNet
Pytorch Mobilenet V3
MobileNetV3 in pytorch and ImageNet pretrained models
Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition
ShuffleNet-V2 for both PyTorch and Caffe.
Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)
Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
Unsupervised Feature Learning via Non-parametric Instance Discrimination
RectLabel is an offline image annotation tool for object detection and segmentation.
Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
Neural Backed Decision Trees
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
PyTorch implementation of One-Shot Video Object Segmentation (OSVOS)
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