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

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Classification models trained on ImageNet. Keras.

Pretrained TorchVision models on CIFAR10 dataset (with weights)

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)

PyTorch Lightning Optical Flow models, scripts, and pretrained weights.

Top 1 solution of Chexpert

An Out-of-the-Box Replication of GANimation using PyTorch, pretrained weights are available!

A Beautiful Flask Web API for Yolov7 (and custom) models

https://towardsdatascience.com/tutorial-build-an-object-detection-system-using-yolo-9a930513643a

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

An implementation of MobileNetV3 with pyTorch

I3D implemetation in Keras + video preprocessing + visualization of results

A Pytorch implementation of the 2017 Huang et. al. paper "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"

Concise, Modular, Human-friendly PyTorch implementation of EfficientNet with Pre-trained Weights.

Pytorch implements yolov3.Good performance, easy to use, fast speed.

TensorFlow version of SqueezeNet with converted pretrained weights

pytorch implementation of several CNNs for image classification

Tensorflow implementations of ConvNeXt V1 + V2 models w/ weights, including conversion and evaluation scripts.