There are 6 repositories under pretrained topic.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
A collection of pre-trained, state-of-the-art models in the ONNX format
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
A collection of computer vision pre-trained models.
PyTorch implementation of the CVPR 2019 paper “Pyramid Feature Attention Network for Saliency Detection”
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
PyTorch implementation of Darknet53
Image Synthesis + Corgis = <3
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
Pretrained SimCLRv2 models in Pytorch
Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
C++ trainable detection library based on libtorch (or pytorch c++). Yolov4 tiny provided now.
This is an Image Super Resolution model implemented in python using keras. This model comes with a GUI to allow users to make use of the model easily.
Presenting Collection of Pretrained Models. Links to pretrained models in NLP and voice.
Xception V1 model in Tensorflow with pretrained weights on ImageNet
convolution neural network library in C# with Pretrained models based on convnetjs
自监督目标检测。阅读源码改善 yolox 检测小目标的缺陷；提出自监督检测算法，在无标签数据上预训练，检测性能优于有标签的预训练。
denseCL + regionCL-D
Word embeddings for Italian language, spacy2 prebuilt model
Text Summarization with Pretrained Encoders
Pretrained on ImageNet ResNet-152 model in Keras
基于 torchvision 编写的针对 COCO 数据集的 Faster-RCNN 快速训练与推理框架，支持多 batchsize。
Code and data for the paper "Pretrained Language Models are Symbolic Mathematics Solvers too!", arXiv:2110.03501
Prediction with Pretrained autoencoders
Experiments and submission code of project 'BoneAge' for competition BWKI
The NIN-Imagenet model converted from Caffe to PyTorch
Keras implementation of a CNN network for age and gender estimation
SecML models and databases zoo.
CNEP (Contrastive Notes Events Pretraining), Contrastive Learning with Clinical Notes and Events Data Pre-training from MIMIC-III
Visual Question Answering Demo on pretrained model
TensorFlow code for a lite bert reimplementation