Explore Projects
Discover 29 open source projects
Showing 1-20 of 29 projects
huggingface/pytorch-image-models
A collection of PyTorch image encoders/backbones with training, evaluation, and inference scripts.
HumanSignal/labelImg
Image annotation tool for computer vision projects
microsoft/Swin-Transformer
An official implementation of the Swin Transformer, a hierarchical vision transformer for image classification and segmentation.
cvat-ai/cvat
CVAT is an industry-leading data engine for machine learning, trusted by teams for annotating data at scale.
qubvel-org/segmentation_models.pytorch
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Cadene/pretrained-models.pytorch
A PyTorch library with pre-trained convolutional networks for various computer vision tasks.
lukemelas/EfficientNet-PyTorch
A PyTorch implementation of the EfficientNet deep learning model for image classification and feature extraction.
tensorlayer/TensorLayer
A deep learning and reinforcement learning library for scientists and engineers, with support for TensorFlow.
ml5js/ml5-library
A friendly machine learning library for the web, providing easy-to-use AI/ML capabilities for developers.
huawei-noah/Efficient-AI-Backbones
Efficient AI model backbones developed by Huawei's Noah's Ark Lab, including GhostNet, TNT, and MLP.
mit-han-lab/efficientvit
Efficient vision foundation models for high-resolution generation and perception.
tinyvision/DAMO-YOLO
A fast and accurate object detection method with new technologies like NAS backbones and efficient RepGFPN.
apple/ml-cvnets
A computer vision library for training and deploying deep learning models, with support for popular datasets and tasks.
bearpaw/pytorch-classification
PyTorch-based library for image classification tasks like CIFAR-10, CIFAR-100, and ImageNet.
yoshitomo-matsubara/torchdistill
A PyTorch-based framework for reproducible deep learning studies with 26 knowledge distillation methods.
google-research/big_transfer
Official repository for the 'Big Transfer (BiT): General Visual Representation Learning' paper, focused on transfer learning for computer vision.
DeepVoltaire/AutoAugment
Unofficial implementation of AutoAugment, a powerful data augmentation technique for computer vision tasks.
hysts/pytorch_image_classification
A PyTorch implementation of image classification models for popular datasets like CIFAR-10, ImageNet, and more.
soeaver/caffe-model
A collection of Caffe models and deployment files for popular machine learning networks like classification, detection, and segmentation.
shicai/MobileNet-Caffe
Caffe implementation of Google's MobileNets (v1 and v2) for image classification and computer vision tasks.
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