There are 3 repositories under pretrained-weights topic.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Segmentation models with pretrained backbones. PyTorch.
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
YOLOv3 implementation in TensorFlow 2.3.1
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
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.
Pretrained is the most complete and frequently updated list of pretrained top-performing models. Tensorflow, Theano and others. Want to add your model? File an issue, and we will add it.
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)
C++ trainable detection library based on libtorch (or pytorch c++). Yolov4 tiny provided now.
Multi-label classification based on timm.
Address book for computer vision models.
An implementation of MobileNetV3 with pyTorch
Pytorch EfficientNetV2 EfficientNetV1 with pretrained weights
A Pytorch implementation of the 2017 Huang et. al. paper "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"
Multi-label classification based on timm, and add SimCLR to timm.
Pytorch implements yolov3.Good performance, easy to use, fast speed.
Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".
Concise, Modular, Human-friendly PyTorch implementation of EfficientNet with Pre-trained Weights.
TensorFlow version of SqueezeNet with converted pretrained weights
Fight Detection From Surveillance Cameras by fine-tuning a PyTorch Pretrained Model
This project shows Image Super Resolution using Deep Learning . Seven models are implemented SRCNN, FSRCNN,ESPCN, RDN, RFDN, Autoencoder and ESRGAN.
A deep learning model built to detect cataract in human eyes using the VGG-19 pretrained weights
Experiment with pre-training spaCy
Tensorflow implementations of ConvNeXt V1 + V2 models w/ weights, including conversion and evaluation scripts.