There are 6 repositories under pretrained topic.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
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
中文文本分类实践,基于搜狗新闻语料库,采用传统机器学习方法以及预训练模型等方法
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.
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
The NIN-Imagenet model converted from Caffe to PyTorch
Keras implementation of a CNN network for age and gender estimation
CNEP (Contrastive Notes Events Pretraining), Contrastive Learning with Clinical Notes and Events Data Pre-training from MIMIC-III