instances
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
pylocron
PyTorch implementations of recent Computer Vision tricks (ReXNet, RepVGG, Unet3p, YOLOv4, CIoU loss, AdaBelief, PolyLoss, MobileOne). Other additions: AdEMAMix
x-anylabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
https://github.com/brainglobe/cellfinder-napari
Efficient cell detection in large images using cellfinder in napari
https://github.com/ccomkhj/lightening_classifier
PyTorch Lightning wrapper to make training classifiers easier.
trainableactivation
Implementation for the article "Trainable Activations for Image Classification"
https://github.com/cvjena/cnn-models
ImageNet pre-trained models with batch normalization for the Caffe framework
https://github.com/amirzenoozi/models-with-tensorflow
AI Models Implementation on Tensorflow
https://github.com/cedrickchee/octaveconv-pytorch
PyTorch implementation of Octave Convolution for ResNet
https://github.com/abtinmy/clustered-fl-brainage
Official implementation of paper "Brain Age Estimation Using Structural MRI: A Clustered Federated Learning Approach"
https://github.com/ammarlodhi255/image-captioning-system-to-assist-the-blind
An image captioning system that is able to predict and speak out a caption of an image taken by visually impaired.
https://github.com/boniolp/msad
[VLDB 2023] Model Selection for Anomaly Detection in Time Series